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A Survey of Coarse-Grained Reconfigurable Architecture and Design

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4020-6505-7_2openalex-snapshot
A Survey of Coarse-Grain Reconfigurable Architectures and Cad Tools
inferredcites →https://doi.org/10.1007/s11265-007-0152-8openalex-snapshot
Implementation of a Coarse-Grained Reconfigurable Media Processor for AVC Decoder
inferredcites →https://doi.org/10.1007/s11265-008-0309-0openalex-snapshot
Still Image Processing on Coarse-Grained Reconfigurable Array Architectures
inferredcites →https://doi.org/10.1016/b978-012370522-8.50007-8openalex-snapshot
Reconfigurable Computing Systems
inferredcites →https://doi.org/10.1016/j.micpro.2008.08.007openalex-snapshot
A holistic approach for tightly coupled reconfigurable parallel processors
inferredcites →https://doi.org/10.1016/j.micpro.2008.10.003openalex-snapshot
Evolution in architectures and programming methodologies of coarse-grained reconfigurable computing
inferredcites →https://doi.org/10.1023/a:1024499601571openalex-snapshot
PACT XPP—A Self-Reconfigurable Data Processing Architecture
inferredcites →https://doi.org/10.1038/s41467-017-01481-9openalex-snapshot
Temporal correlation detection using computational phase-change memory
inferredcites →https://doi.org/10.1049/ip-cdt:20045086openalex-snapshot
Reconfigurable computing: architectures and design methods
inferredcites →https://doi.org/10.1093/ietcom/e89-b.12.3179openalex-snapshot
A Survey on Dynamically Reconfigurable Processors
inferredcites →https://doi.org/10.1109/12.48862openalex-snapshot
Executing a program on the MIT tagged-token dataflow architecture
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MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications
inferredcites →https://doi.org/10.1109/2.612254openalex-snapshot
Baring it all to software: Raw machines
inferredcites →https://doi.org/10.1109/2.839324openalex-snapshot
PipeRench: a reconfigurable architecture and compiler
inferredcites →https://doi.org/10.1109/4.173120openalex-snapshot
A reconfigurable multiprocessor IC for rapid prototyping of algorithmic-specific high-speed DSP data paths
inferredcites →https://doi.org/10.1109/4.92017openalex-snapshot
A novel ASIC design approach based on a new machine paradigm
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A case for intelligent RAM
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Proceedings of the IEEE 2008 custom integrated circuits conference
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Are Coarse-Grained Overlays Ready for General Purpose Application Acceleration on FPGAs?
inferredcites →https://doi.org/10.1109/date.2001.915091openalex-snapshot
A decade of reconfigurable computing: a visionary retrospective
inferredcites →https://doi.org/10.1109/ddecs.2008.4538762openalex-snapshot
Mapping of 40 MHz MIMO SDM-OFDM Baseband Processing on Multi-Processor SDR Platform
inferredcites →https://doi.org/10.1109/fpt.2004.1393261openalex-snapshot
Stream applications on the dynamically reconfigurable processor
inferredcites →https://doi.org/10.1109/fpt.2007.4439216openalex-snapshot
Proceedings 2007 International Conference on Field Programmable Technology
inferredcites →https://doi.org/10.1109/icsamos.2008.4664830openalex-snapshot
Proceedings 2008 international conference on embedded computer systems: Architectures, modeling and simulation
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Proceedings of 21 International Symposium on Computer Architecture
inferredcites →https://doi.org/10.1109/isscc.2014.6757323openalex-snapshot
1.1 Computing's energy problem (and what we can do about it)
inferredcites →https://doi.org/10.1109/jproc.1998.658762openalex-snapshot
Cramming More Components Onto Integrated Circuits
inferredcites →https://doi.org/10.1109/jproc.2014.2386883openalex-snapshot
Reconfigurable Computing Architectures
inferredcites →https://doi.org/10.1109/jproc.2014.2387696openalex-snapshot
Fundamental Underpinnings of Reconfigurable Computing Architectures
inferredcites →https://doi.org/10.1109/jssc.1974.1050511openalex-snapshot
Design of ion-implanted MOSFET's with very small physical dimensions
inferredcites →https://doi.org/10.1109/jssc.2016.2616357openalex-snapshot
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/les.2018.2849267openalex-snapshot
i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-Signal Processing
inferredcites →https://doi.org/10.1109/micro.1996openalex-snapshot
Proceedings of the 29th Annual IEEE/ACM International Symposium on Microarchitecture. MICRO 29
inferredcites →https://doi.org/10.1109/mm.2011.89openalex-snapshot
GPUs and the Future of Parallel Computing
inferredcites →https://doi.org/10.1109/mm.2012.17openalex-snapshot
Dark Silicon and the End of Multicore Scaling
inferredcites →https://doi.org/10.1109/mm.2012.51openalex-snapshot
DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing
inferredcites →https://doi.org/10.1109/mm.2014.55openalex-snapshot
Near-Data Processing: Insights from a MICRO-46 Workshop
inferredcites →https://doi.org/10.1109/mm.2015.42openalex-snapshot
A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services
inferredcites →https://doi.org/10.1109/mspec.2013.6655835openalex-snapshot
The end of the shrink
inferredcites →https://doi.org/10.1109/tc.1972.5009071openalex-snapshot
Some Computer Organizations and Their Effectiveness
inferredcites →https://doi.org/10.1109/tcad.2011.2110592openalex-snapshot
High-Level Synthesis for FPGAs: From Prototyping to Deployment
inferredcites →https://doi.org/10.1109/tcad.2017.2729340openalex-snapshot
DRMaSV: Enhanced Capability Against Hardware Trojans in Coarse Grained Reconfigurable Architectures
inferredcites →https://doi.org/10.1109/tcsii.2017.2728814openalex-snapshot
HReA: An Energy-Efficient Embedded Dynamically Reconfigurable Fabric for 13-Dwarfs Processing
inferredcites →https://doi.org/10.1109/tifs.2016.2518130openalex-snapshot
Against Double Fault Attacks: Injection Effort Model, Space and Time Randomization Based Countermeasures for Reconfigurable Array Architecture
inferredcites →https://doi.org/10.1109/tifs.2016.2612638openalex-snapshot
Exploration of Benes Network in Cryptographic Processors: A Random Infection Countermeasure for Block Ciphers Against Fault Attacks
inferredcites →https://doi.org/10.1109/tmm.2015.2463735openalex-snapshot
An Energy-Efficient Coarse-Grained Reconfigurable Processing Unit for Multiple-Standard Video Decoding
inferredcites →https://doi.org/10.1109/tpds.2005.51openalex-snapshot
An instruction-level distributed processor for symmetric-key cryptography
inferredcites →https://doi.org/10.1109/tvlsi.2007.912133openalex-snapshot
The Reconfigurable Instruction Cell Array
inferredcites →https://doi.org/10.1109/tvlsi.2008.2006846openalex-snapshot
Dynamic Context Compression for Low-Power Coarse-Grained Reconfigurable Architecture
inferredcites →https://doi.org/10.1109/tvlsi.2009.2025280openalex-snapshot
Design Space Exploration for Efficient Resource Utilization in Coarse-Grained Reconfigurable Architecture
inferredcites →https://doi.org/10.1109/tvlsi.2012.2228015openalex-snapshot
Implementing Flexible Reliability in a Coarse-Grained Reconfigurable Architecture
inferredcites →https://doi.org/10.1109/tvlsi.2017.2688340openalex-snapshot
Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns
inferredcites →https://doi.org/10.1145/1037187.1024396openalex-snapshot
Spatial computation
inferredcites →https://doi.org/10.1145/1233307.1233308openalex-snapshot
The WaveScalar architecture
inferredcites →https://doi.org/10.1145/1735970.1736044openalex-snapshot
Conservation cores
inferredcites →https://doi.org/10.1145/1749603.1749604openalex-snapshot
Compiling for reconfigurable computing
inferredcites →https://doi.org/10.1145/225830.225965openalex-snapshot
A comparison of full and partial predicated execution support for ILP processors
inferredcites →https://doi.org/10.1145/2540708openalex-snapshot
Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture
inferredcites →https://doi.org/10.1145/2554688openalex-snapshot
Proceedings of the 2014 ACM/SIGDA international symposium on Field-programmable gate arrays
inferredcites →https://doi.org/10.1145/2638558openalex-snapshot
A Software Scheme for Multithreading on CGRAs
inferredcites →https://doi.org/10.1145/2676726.2677002openalex-snapshot
Tractable Refinement Checking for Concurrent Objects
inferredcites →https://doi.org/10.1145/2735841openalex-snapshot
Convolution engine
inferredcites →https://doi.org/10.1145/27633.28055openalex-snapshot
Dataflow machine architecture
inferredcites →https://doi.org/10.1145/2872362.2872415openalex-snapshot
Generating Configurable Hardware from Parallel Patterns
inferredcites →https://doi.org/10.1145/2872887.2750386openalex-snapshot
A scalable processing-in-memory accelerator for parallel graph processing
inferredcites →https://doi.org/10.1145/288548openalex-snapshot
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design - ICCAD '98
inferredcites →https://doi.org/10.1145/2954679.2872415openalex-snapshot
Generating Configurable Hardware from Parallel Patterns
inferredcites →https://doi.org/10.1145/3079856openalex-snapshot
Proceedings of the 44th Annual International Symposium on Computer Architecture
inferredcites →https://doi.org/10.1145/3079856.3080246openalex-snapshot
In-Datacenter Performance Analysis of a Tensor Processing Unit
inferredcites →https://doi.org/10.1145/359576.359585openalex-snapshot
Communicating sequential processes
inferredcites →https://doi.org/10.1145/508352.508353openalex-snapshot
Reconfigurable computing
inferredcites →https://doi.org/10.1145/641675.642111openalex-snapshot
A preliminary architecture for a basic data-flow processor
inferredcites →https://doi.org/10.1145/800145openalex-snapshot
Proceedings of the 9th annual workshop on Microprogramming - MICRO 9
inferredcites →https://doi.org/10.1145/980152.980156openalex-snapshot
TRIPS
inferredcites →https://doi.org/10.1155/2013/683615openalex-snapshot
Ingredients of Adaptability: A Survey of Reconfigurable Processors
inferredcites →https://doi.org/10.1155/2016/2478907openalex-snapshot
Operating System Concepts for Reconfigurable Computing: Review and Survey
inferredcites →https://doi.org/10.24251/hicss.2023.000openalex-snapshot
Proceedings of the 56th Hawaii International Conference on System Sciences
inferredcites →https://doi.org/10.5555/1515843.1515847openalex-snapshot
A design flow for architecture exploration and implementation of partially reconfigurable processors

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Heterogeneous reconfigurable architectures for machine learning dataflows
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SAT-Based Mapping of Data-Flow Graphs onto Coarse-Grained Reconfigurable Arrays
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A Dynamic Selective Replication Mechanism for the Distributed Storage Structure
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Standalone Nested Loop Acceleration on CGRAs for Signal Processing Applications
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MultiGRA: Expanding the CGRA Design Space with a Mixed-Granularity Approach
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Coarse-Grained Reconfigurable Array (CGRA)
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Reconfigurable Architectures: The Shift from General Systems to Domain Specific Solutions
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Overview of SDC
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Compilation System
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Technical Difficulties and Development Trend
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Energy-Efficient 3D Convolution Using Interposed Memory Accelerator eXtension 2 for Medical Image Processing
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Coarse-Grained Reconfigurable Array (CGRA)
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Fast DSE of reconfigurable accelerator systems via ensemble machine learning
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Automating functional unit and register binding for synchoros CGRA platform
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Int-Monitor: a model triggered hardware trojan in deep learning accelerators
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RMSRM: real-time monitoring-based self-reconfiguration mechanism in reconfigurable PE array
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UltraSynth: Insights of a CGRA Integration into a Control Engineering Environment
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Energy Efficient Hardware Loop Based Optimization for CGRAs
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Survey of Coarse-Grained Reconfigurable Architectures Mapping Algorithms
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Software-defined process-near-memory architecture using 3D hybrid bonding integration
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Artificial intelligence driven channel coding and resource optimization for wireless networks: A systematic survey
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Towards coding for VoD application: An enhanced video compression system with a content-fitted recursive restoration network
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Automatic identification of Collembola with deep learning techniques
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Reconfigurable content-addressable memory (CAM) on FPGAs: A tutorial and survey
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Neural texture transfer assisted video coding with adaptive up-sampling
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GCN-RA: A graph convolutional network-based resource allocator for reconfigurable systems
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Personally identifiable information detection in smart edge computing: A robust model evaluation
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Efficient Coarse-Grained Reconfigurable Array architecture for machine learning applications in space using DARE65T library platform
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A CGRA frontend for bandwidth utilization in HiPReP
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A survey on hardware accelerators: Taxonomy, trends, challenges, and perspectives
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Coarse-grained reconfigurable architectures for radio baseband processing: A survey
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System-level support for multi-thread coprocessors with tagged-dataflow and coarse-grained reconfigurability on FPGA-based MPSoCs
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Deep learning in electron microscopy
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A Survey on Coarse-Grained Reconfigurable Architectures From a Performance Perspective
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Routability-Enhanced Scheduling for Application Mapping on CGRAs
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High-Level Synthesis Hardware Design for FPGA-Based Accelerators: Models, Methodologies, and Frameworks
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DynPath–Non-Intrusive Feature-Rich Hardware-Based Execution Path Profiler
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3DRA: Dynamic Data-Driven Reconfigurable Architecture
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Automatic Compilation of CNN on Reconfigurable Array Processor Based on Scalable Instruction Group Library
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Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains
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Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review
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An Efficient Computational Performance Analysis Method for CGRA-based Deep Learning Accelerator
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A Template-based Framework for Exploring Coarse-Grained Reconfigurable Architectures
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Raising Compute Density of Molecular Dynamics Simulation Through Approximate Memoization
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Zero-Overhead Loop Control for Tightly Coupled Processor Arrays (TCPAS)
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Symbolic Energy Analysis for Nested Loop Accelerators
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FT-CGRA: Compiler-Transparent Fault Tolerance for CGRAs
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Ultra-Fast CGRA Scheduling to Enable Run Time, Programmable CGRAs
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An Analysis on Formal Models of Computation for the Avionics Systems Domain
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Acceleration of C/C++ Kernels and ONNX Models on CGRAs with MLIR-Based Compilation
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An Open-Source Framework for the Generation of RISC-V Processor + CGRA Accelerator Systems
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SplitMS: Split Modulo-Scheduling for Accelerating Loops Onto CGRAs
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SmartDMA: Adaptable Memory Access Controller for CGRA-based Processing Systems
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DA-CGRA: Domain-Aware Heterogeneous Coarse-Grained Reconfigurable Architecture for the Edge
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Towards a Programming Paradigm for Reconfigurable Computing: Asynchronous Graph Programming
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A Hierarchy of Machine Learning Processing Elements with Joint Micro Programmable Computation and Indexing
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Mocarabe: High-Performance Time-Multiplexed Overlays for FPGAs
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Mapping Enumeration for Multi-Context CGRAs Using Zero-Suppressed Binary Decision Diagrams
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Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface
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To Infinity and Beyond: A Reconfigurable Architecture for Space Vision Computing
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A Flexible Graph Language for a Model-Based Semi-Automatic CGRA Compilation Flow
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MCEA: A Resource-Aware Multicore CGRA Architecture for the Edge
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Power-Aware Computing Systems on FPGAs: A Survey
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TRAM: An Open-Source Template-based Reconfigurable Architecture Modeling Framework
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Modeling and Exploration of Elastic CGRAs
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CFEACT: A CGRA-based Framework Enabling Agile CNN and Transformer Accelerator Design
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Leveraging Domain Information for the Efficient Automated Design of Deep Learning Accelerators
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E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping
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Comparative Sentiment Analysis of Cryptocurrency Apps Using BERT
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VecPAC: A Vectorizable and Precision-Aware CGRA
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Invited Paper: CMOS 2.0 - Redefining the Future of Scaling
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DFGC: DFG-aware NoC Control based on Time Stamp Prediction for Dataflow Architecture
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VEGA: Implementing a Versatile and Efficient Deep Learning Processor with Graph-Based ALU
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Wifa: a Weighted Initialization Approach to Federated Learning for Medical Diagnosis
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Configuration Mechanism of Software Defined Chip Applied in Signal Processing
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CRP: Context-directed Replacement Policy to Improve Cache Performance for Coarse-Grained Reconfigurable Arrays
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A Multi-Layered Cryptographic Model for Biometric Data Security Using Fuzzy Vault and Lightweight AES Variants
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FastCGRA: A Modeling, Evaluation, and Exploration Platform for Large-Scale Coarse-Grained Reconfigurable Arrays
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Energy Efficient Design of Coarse-Grained Reconfigurable Architectures: Insights, Trends and Challenges
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APR-16: The Physical Design of a Reconfigurable Array Processor Chip
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The Research of Reconfigurable Array Processor for Massive MIMO Detection Algorithm
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Virtualizing Analog Mesh Computers: The Case of a Photonic PDE Solving Accelerator
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Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture
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OrderMap: A CGRA Mapping Algorithm based on DFG Analysis and Graph Homomorphism
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Efficient and Flexible Implementation of FFT Application for CGRA Processor
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An Architecture- Independent CGRA Compiler enabling OpenMP Applications
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Twenty Years of Automated Methods for Mapping Applications on CGRA
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Application-specific FPGAs: cryptographic agility through customized reconfigurable architectures
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A Scalable Mapping Method for Elastic CGRAs
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A Power-Centric Methodology to Characterize Edge AI SoC with Limited Telemetry Capabilities
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Compiler-Based Performance Results for Regular Application Kernels on the HPC CGRA HiPReP
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Control-Flow Execution on CGRAs: A Comprehensive Survey of Architectural and Compilation Techniques
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SARA: Scaling a Reconfigurable Dataflow Accelerator
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Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶
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DICE: Enabling Efficient General-Purpose SIMT Execution with Statically Scheduled Coarse-Grained Reconfigurable Arrays
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A RISC-V Heterogeneous SoC and Its Co-Scheduling Optimization Approach for Digital Signal Processing
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THRAM: A Template-based Heterogeneous CGRA Modeling Framework Supporting Fast DSE
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Deep Learning-Assisted Video Compression Framework
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RESHAPE: A Run-Time Dataflow Hardware-Based Mapping for CGRA Overlays
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BioCare: An Energy-Efficient CGRA for Bio-Signal Processing at the Edge
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A 420 GOPS/W CGRA with a Configurable MAC and Dynamic Truncation
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MOE: An Efficient Multicasting and One-hot Encoding Hybrid Configuration Compression Technique for CGRAs
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A 22nm Reconfigurable Systolic Array for FFT and AI Inference
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Reuse-Aware Partitioning of Dataflow Graphs on a Tightly-Coupled CGRA
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MINISA: Minimal Instruction Set Architecture for Next-gen Reconfigurable Inference Accelerator
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X4-RARE: Revisiting the X4CP32 Coarse-Grained Reconfigurable Architecture Model
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A Quasi Fat Tree-based Formation of Micro-Programmable Processing Elements for Machine Learning Applications
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A Survey on Stream-Based Architectures: From Accelerators to CPUs
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Field Programmable Neural Array for Biomedical Signal Processing
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A 28-nm Software-Defined Accelerator Chip With Circuit-Pipeline Scaling and Intrinsic Physical Unclonable Function Enabling Secure Configuration
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Occamy: A 432-Core Dual-Chiplet Dual-HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12-nm FinFET
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Energy-Efficient Mappings in the Athena CGRA
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Wafer-Scale Computing: Advancements, Challenges, and Future Perspectives [Feature]
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An Overview of Challenges and Requirements for Real-Time Spectrum Sensing in Modern RF Autonomy Systems
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Synthesis Method for CGRA Processors based on Imitation Model
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Multi-Operating System and Multi-Database Detection Based on Multi-Agent Reinforcement Learning in a Distributed Environment
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Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs
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ICED: An Integrated CGRA Framework Enabling DVFS-Aware Acceleration
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SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts
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A Binary Translation Framework for Automated Hardware Generation
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Review and Evaluation of End-to-End Video Compression with Deep-Learning
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An Ultra-Compact Calculation Unit with Temporal-Spatial Re-configurability
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Comparative Sentiment Analysis of Cryptocurrency Apps Using BERT, RoBERTa, and ChatGPT
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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability
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Mapping YOLOv4-Tiny on FPGA-Based DNN Accelerator by Using Dynamic Fixed-Point Method
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ILP Based Mapping for Elastic CGRAs
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MIDAS: A Mapping Infrastructure for Configurable, Data-Streaming Based Domain Specific Accelerators
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A Management Technique for Concurrent Access to a Reconfigurable Accelerator
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Evaluating the Performance, Energy and Area Tradeoffs of ATHENA in Superscalar Processors
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A Simulation Methodology for Transparent Coarse-Grained Reconfigurable Architectures
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A Multi-Domain Architectural Efficiency Metric
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Approximate Accelerators: A Case Study using Runtime Reconfigurable Processors
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Resilient and Secure Programmable System-on-Chip Accelerator Offload
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ReAAP: A Reconfigurable and Algorithm-Oriented Array Processor with Compiler-Architecture Co-Design
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TRAVERSAL: A Fast and Adaptive Graph-Based Placement and Routing for CGRAs
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Morphling: A Reconfigurable Architecture for Tensor Computation
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Amphis: Managing Reconfigurable Processor Architectures With Generative Adversarial Learning
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M2STaR: A Multimode Spatio-Temporal Redundancy Design for Fault-Tolerant Coarse-Grained Reconfigurable Architectures
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GREEN: An Approximate SIMD/MIMD CGRA for Energy-Efficient Processing at the Edge
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Optimizing Data Reuse for Loop Mapping on CGRAs With Joint Affine and Nonaffine Transformations
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SubMap: A Partial Mapping Strategy for CGRA Based on sub-CGRA Exploration
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DynMap: A Heuristic Dynamic Mapper for CGRA Multitask Dynamic Resource Allocation
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EDWAC: A Deadlock-Free Scheme for Compiling Whole Programs Onto Dynamically Reconfigurable Dataflow Architectures
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MultiSky: Dynamic Resource Allocation Framework for High-Throughput CGRA Multitask Execution
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Data Transfer Optimization for Loop Mapping on CGRAs via Polyhedral Transformation
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Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips
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CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs
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Raccoon: Lightweight Support for Comprehensive Control Flows in Reconfigurable Spatial Architectures
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PreTrans: Enabling Efficient CGRA Multi-Task Context Switch Through Config Pre-Mapping and Data Transceiving
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RedPanda: A Unified Compilation Framework for Dataflow-Based CGRAs and High-Level Synthesis
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A Dynamic General Accelerator for Integer and Fixed-Point Processing
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HETA: A Heterogeneous Temporal CGRA Modeling and Design Space Exploration via Bayesian Optimization
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Toward Efficient Edge AI With Heterogeneous Computing and Multilevel Optimization
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SAT-Based Data-Flow Mapping Onto Array Processor
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RNA: A Flexible and Efficient Accelerator Based on Dynamically Reconfigurable Computing for Multiple Convolutional Neural Networks
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DMPRA: A Dynamic Reconfiguration Mechanism for a Dual-Mode Programmable Reconfigurable Array Architecture
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ASFRM: An Array State Self-feedback-Based Self-reconfiguration Mechanism in a Reconfigurable Array Processor
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Configuration Information Generation for Reconfigurable Decoupled Access-Execute CGRA
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Combining Memory Partitioning and Subtask Generation for Parallel Data Access on CGRAs
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Transmuter
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A Traffic and Resource Aware Online Storm Scheduler
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Strategies for Heterogeneous Multi-Core Processing Based on Graph Programming
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FastCFI: Real-time Control-Flow Integrity Using FPGA without Code Instrumentation
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SparseAdapt: Runtime Control for Sparse Linear Algebra on a Reconfigurable Accelerator
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CaSMap
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Component-based Analysis of Dynamic Search Performance
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Consistency-Contrast Learning for Conceptual Coding
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Imitated Detectors
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REVAMP: a systematic framework for heterogeneous CGRA realization
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PANDA
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Advantages of a Statistical Estimation Approach for Clock Frequency Estimation of Heterogeneous and Irregular CGRAs
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Pushing the Level of Abstraction of Digital System Design: A Survey on How to Program FPGAs
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Design and Implementation of a Coarse-grained Dynamically Reconfigurable Multimedia Accelerator
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Virtualizing a Post-Moore’s Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator
inferred← citeshttps://doi.org/10.1145/3550071openalex-snapshot
An Efficient and Flexible Stochastic CGRA Mapping Approach
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Domain-Specific Architectures: Research Problems and Promising Approaches
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MapZero: Mapping for Coarse-grained Reconfigurable Architectures with Reinforcement Learning and Monte-Carlo Tree Search
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MESA: Microarchitecture Extensions for Spatial Architecture Generation
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Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing
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Flip : Data-centric Edge CGRA Accelerator
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Open-Source Elastic CGRA Generator
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CLUMAP: Clustered Mapper for CGRAs with Predication
inferred← citeshttps://doi.org/10.1145/3656642openalex-snapshot
R-Blocks: an Energy-Efficient, Flexible, and Programmable CGRA
inferred← citeshttps://doi.org/10.1145/3676641.3716013openalex-snapshot
PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs
inferred← citeshttps://doi.org/10.1145/3689729openalex-snapshot
FlowCert: Translation Validation for Asynchronous Dataflow via Dynamic Fractional Permissions
inferred← citeshttps://doi.org/10.1145/3699514openalex-snapshot
A Survey on Architectures, Hardware Acceleration and Challenges for In-Network Computing
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Lossy Compressed Collective Inter-FPGA Communications
inferred← citeshttps://doi.org/10.1145/3721294openalex-snapshot
CTScan: A CGRA-based Platform for the Emulation of Power Side-Channel Attacks on Edge CPUs
inferred← citeshttps://doi.org/10.1145/3723045openalex-snapshot
PRISA: A Potential Region-based Intelligent Search Algorithm for Dataflow Graph Mapping in Spatial CGRAs
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FexMo: Enabling Fuse Execution Mode for Multi-task CGRAs
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Misam: Machine Learning Assisted Dataflow Selection in Accelerators for Sparse Matrix Multiplication
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Systolic Array-Based Matrix Multiplication and Reduction on Elastic CGRAs
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A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
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DVHetero: A Framework for Designing and Validating Heterogeneous SoC with RISC-V Processor and CGRA
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Neural Video Compression with In-Loop Contextual Filtering and Out-of-Loop Reconstruction Enhancement
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Adaptive Computing in Memory Meets Conventional Batteryless Platforms
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