On the public citation graph
RFVP
0 signed · 141 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-36265-7_55openalex-snapshot
Using Dataflow Based Context for Accurate Branch Prediction
inferredcites →https://doi.org/10.1007/978-3-642-14122-5_8openalex-snapshot
Dynamic Detection of Uniform and Affine Vectors in GPGPU Computations
inferredcites →https://doi.org/10.1109/ats.2011.72openalex-snapshot
A Fault Criticality Evaluation Framework of Digital Systems for Error Tolerant Video Applications
inferredcites →https://doi.org/10.1109/date.2006.243978openalex-snapshot
Ultra-Efficient (Embedded) SOC Architectures based on Probabilistic CMOS (PCMOS) Technology
inferredcites →https://doi.org/10.1109/dsn.2014.50openalex-snapshot
Characterizing Application Memory Error Vulnerability to Optimize Datacenter Cost via Heterogeneous-Reliability Memory
inferredcites →https://doi.org/10.1109/hpca.2001.903264openalex-snapshot
Differential FCM: increasing value prediction accuracy by improving table usage efficiency
inferredcites →https://doi.org/10.1109/hpca.2007.346196openalex-snapshot
Application-Level Correctness and its Impact on Fault Tolerance
inferredcites →https://doi.org/10.1109/hpca.2014.6835952openalex-snapshot
Practical data value speculation for future high-end processors
inferredcites →https://doi.org/10.1109/hpca.2016.7446064openalex-snapshot
A case for toggle-aware compression for GPU systems
inferredcites →https://doi.org/10.1109/iiswc.2009.5306797openalex-snapshot
Rodinia: A benchmark suite for heterogeneous computing
inferredcites →https://doi.org/10.1109/isca.2014.6853207openalex-snapshot
Eliminating redundant fragment shader executions on a mobile GPU via hardware memoization
inferredcites →https://doi.org/10.1109/isca.2014.6853213openalex-snapshot
General-purpose code acceleration with limited-precision analog computation
inferredcites →https://doi.org/10.1109/ispass.2009.4919648openalex-snapshot
Analyzing CUDA workloads using a detailed GPU simulator
inferredcites →https://doi.org/10.1109/l-ca.2011.22openalex-snapshot
A Case for Hybrid Discrete-Continuous Architectures
inferredcites →https://doi.org/10.1109/lca.2015.2430853openalex-snapshot
Toggle-Aware Compression for GPUs
inferredcites →https://doi.org/10.1109/micro.2005.11openalex-snapshot
Address-Value Delta (AVD) Prediction: Increasing the Effectiveness of Runahead Execution by Exploiting Regular Memory Allocation Patterns
inferredcites →https://doi.org/10.1109/micro.2007.30openalex-snapshot
Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow
inferredcites →https://doi.org/10.1109/micro.2010.36openalex-snapshot
Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?
inferredcites →https://doi.org/10.1109/micro.2012.16openalex-snapshot
Cache-Conscious Wavefront Scheduling
inferredcites →https://doi.org/10.1109/micro.2012.48openalex-snapshot
Neural Acceleration for General-Purpose Approximate Programs
inferredcites →https://doi.org/10.1109/mm.2003.1261383openalex-snapshot
Runahead execution: an effective alternative to large instruction windows
inferredcites →https://doi.org/10.1109/mm.2011.89openalex-snapshot
GPUs and the Future of Parallel Computing
inferredcites →https://doi.org/10.1109/mm.2015.108openalex-snapshot
Axilog: Abstractions for Approximate Hardware Design and Reuse
inferredcites →https://doi.org/10.1109/pact.2009.22openalex-snapshot
Memory Performance and Cache Coherency Effects on an Intel Nehalem Multiprocessor System
inferredcites →https://doi.org/10.1109/tc.2005.117openalex-snapshot
Enhancing Memory-Level Parallelism via Recovery-Free Value Prediction
inferredcites →https://doi.org/10.1109/tc.2005.119openalex-snapshot
Fuzzy Memoization for Floating-Point Multimedia Applications
inferredcites →https://doi.org/10.1109/tmm.2012.2232647openalex-snapshot
Branch and Data Herding: Reducing Control and Memory Divergence for Error-Tolerant GPU Applications
inferredcites →https://doi.org/10.1145/1054907.1054913openalex-snapshot
How to use SimPoint to pick simulation points
inferredcites →https://doi.org/10.1145/1869459.1869525openalex-snapshot
Patterns and statistical analysis for understanding reduced resource computing
inferredcites →https://doi.org/10.1145/2025113.2025133openalex-snapshot
Managing performance vs. accuracy trade-offs with loop perforation
inferredcites →https://doi.org/10.1145/2150976.2151008openalex-snapshot
Architecture support for disciplined approximate programming
inferredcites →https://doi.org/10.1145/2212908.2212912openalex-snapshot
Algorithmic methodologies for ultra-efficient inexact architectures for sustaining technology scaling
inferredcites →https://doi.org/10.1145/2370816.2370870openalex-snapshot
Base-delta-immediate compression
inferredcites →https://doi.org/10.1145/237090.237173openalex-snapshot
Value locality and load value prediction
inferredcites →https://doi.org/10.1145/2465787.2465795openalex-snapshot
Synthesizing Parsimonious Inexact Circuits through Probabilistic Design Techniques
inferredcites →https://doi.org/10.1145/2509136.2509546openalex-snapshot
Verifying quantitative reliability for programs that execute on unreliable hardware
inferredcites →https://doi.org/10.1145/2540708.2540710openalex-snapshot
Quality programmable vector processors for approximate computing
inferredcites →https://doi.org/10.1145/2540708.2540712openalex-snapshot
Approximate storage in solid-state memories
inferredcites →https://doi.org/10.1145/2589750openalex-snapshot
Neural acceleration for general-purpose approximate programs
inferredcites →https://doi.org/10.1145/2628071.2628110openalex-snapshot
Rollback-free value prediction with approximate loads
inferredcites →https://doi.org/10.1145/2678373.2665746openalex-snapshot
General-purpose code acceleration with limited-precision analog computation
inferredcites →https://doi.org/10.1145/2678373.2665748openalex-snapshot
Eliminating redundant fragment shader executions on a mobile GPU via hardware memoization
inferredcites →https://doi.org/10.1145/2749469.2750399openalex-snapshot
A case for core-assisted bottleneck acceleration in GPUs
inferredcites →https://doi.org/10.1145/2786805.2786807openalex-snapshot
FlexJava: language support for safe and modular approximate programming
inferredcites →https://doi.org/10.1145/313817.313834openalex-snapshot
Energy-efficient signal processing via algorithmic noise-tolerance
inferredcites →https://doi.org/10.1145/567067.567085openalex-snapshot
Conversion of control dependence to data dependence
inferredcites →https://doi.org/10.1147/rd.374.0547openalex-snapshot
A load-instruction unit for pipelined processors
inferredcites →https://doi.org/10.5555/1870926.1871008openalex-snapshot
Scalable stochastic processors
inferredcites →https://doi.org/10.5555/1870926.1871302openalex-snapshot
ERSA: error resilient system architecture for probabilistic applications
inferredcites →https://doi.org/10.5555/2561828.2561978openalex-snapshot
Approximate logic synthesis under general error magnitude and frequency constraints
inferredcites →https://doi.org/10.5555/2616606.2617119openalex-snapshot
ASLAN: synthesis of approximate sequential circuits
inferredcites →https://doi.org/10.5555/266800.266824openalex-snapshot
The predictability of data values
inferredcites →https://doi.org/10.5555/2755753.2755938openalex-snapshot
Axilog: language support for approximate hardware design
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.7614openalex-snapshot
Approximate execution and grouping of critical sections for performance‐accuracy tradeoff
inferred← citeshttps://doi.org/10.1007/978-3-030-94705-7_11openalex-snapshot
Security in an Approximated World: New Threats and Opportunities in the Approximate Computing Paradigm
inferred← citeshttps://doi.org/10.1007/978-3-030-94705-7_8openalex-snapshot
Design Space Exploration Tools
inferred← citeshttps://doi.org/10.1007/978-3-319-99322-5_20openalex-snapshot
Approximate Cache Architectures
inferred← citeshttps://doi.org/10.1007/s11227-020-03312-zopenalex-snapshot
Smartphone processor architecture, operations, and functions: current state-of-the-art and future outlook: energy performance trade-off
inferred← citeshttps://doi.org/10.1007/s40031-019-00418-8openalex-snapshot
Approximate Computing: A Survey of Recent Trends—Bringing Greenness to Computing and Communication
inferred← citeshttps://doi.org/10.1016/j.future.2019.07.073openalex-snapshot
ADeLe: A description language for approximate hardware
inferred← citeshttps://doi.org/10.1016/j.jpdc.2018.11.012openalex-snapshot
A survey of architectural approaches for improving GPGPU performance, programmability and heterogeneity
inferred← citeshttps://doi.org/10.1109/access.2019.2943922openalex-snapshot
An Approximate Bufferless Network-on-Chip
inferred← citeshttps://doi.org/10.1109/access.2021.3110993openalex-snapshot
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks
inferred← citeshttps://doi.org/10.1109/aist55798.2022.10065214openalex-snapshot
Review of Approximate Computing in Image Processing Applications
inferred← citeshttps://doi.org/10.1109/apccas62602.2024.10808333openalex-snapshot
A Dynamic Approximation Processor Based on Out-of-Order RISC-V in 28-nm CMOS
inferred← citeshttps://doi.org/10.1109/cahpc.2018.8645875openalex-snapshot
ADeLe: Rapid Architectural Simulation for Approximate Hardware
inferred← citeshttps://doi.org/10.1109/ci2a69097.2026.11577098openalex-snapshot
Image Compression with XOR-MUX based Approximate Multipliers
inferred← citeshttps://doi.org/10.1109/dsn.2019.00046openalex-snapshot
Exploiting Latency and Error Tolerance of GPGPU Applications for an Energy-Efficient DRAM
inferred← citeshttps://doi.org/10.1109/hpca.2019.00039openalex-snapshot
The What's Next Intermittent Computing Architecture
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188051openalex-snapshot
Approximating Memory-bound Applications on Mobile GPUs
inferred← citeshttps://doi.org/10.1109/iccd.2017.31openalex-snapshot
ABDTR: Approximation-Based Dynamic Traffic Regulation for Networks-on-Chip Systems
inferred← citeshttps://doi.org/10.1109/iccd53106.2021.00023openalex-snapshot
Stochastic Iterative Approximation: Software/hardware techniques for adjusting aggressiveness of approximation
inferred← citeshttps://doi.org/10.1109/iceic49074.2020.9051208openalex-snapshot
Approximate Hardware Techniques for Energy-Quality Scaling Across the System
inferred← citeshttps://doi.org/10.1109/icm63406.2024.10815775openalex-snapshot
Machine Learning based Memory Load Value Predictor for Multimedia Applications
inferred← citeshttps://doi.org/10.1109/icse.2019.00103openalex-snapshot
Redundant Loads: A Software Inefficiency Indicator
inferred← citeshttps://doi.org/10.1109/isca.2018.00027openalex-snapshot
A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory
inferred← citeshttps://doi.org/10.1109/isca.2018.00061openalex-snapshot
SnaPEA: Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/jproc.2020.3030121openalex-snapshot
Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/micro.2016.7783746openalex-snapshot
The Bunker Cache for spatio-value approximation
inferred← citeshttps://doi.org/10.1109/mitp.2023.3254642openalex-snapshot
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00033openalex-snapshot
ZeroSpy: Exploring Software Inefficiency with Redundant Zeros
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00093openalex-snapshot
GVPROF: A Value Profiler for GPU-Based Clusters
inferred← citeshttps://doi.org/10.1142/s0218126624300010openalex-snapshot
Approximate Computing: Hardware and Software Techniques, Tools and Their Applications
inferred← citeshttps://doi.org/10.1145/2893356openalex-snapshot
A Survey of Techniques for Approximate Computing
inferred← citeshttps://doi.org/10.1145/3168814openalex-snapshot
Local memory-aware kernel perforation
inferred← citeshttps://doi.org/10.1145/3173162.3177159openalex-snapshot
Watching for Software Inefficiencies with Witch
inferred← citeshttps://doi.org/10.1145/3179541.3168814openalex-snapshot
Local memory-aware kernel perforation
inferred← citeshttps://doi.org/10.1145/3243176.3243188openalex-snapshot
In-DRAM near-data approximate acceleration for GPUs
inferred← citeshttps://doi.org/10.1145/3296957.3177159openalex-snapshot
Watching for Software Inefficiencies with Witch
inferred← citeshttps://doi.org/10.1145/3307651openalex-snapshot
Enhancing Speculative Execution With Selective Approximate Computing
inferred← citeshttps://doi.org/10.1145/3330345.3330362openalex-snapshot
Address-stride assisted approximate load value prediction in GPUs
inferred← citeshttps://doi.org/10.1145/3429440openalex-snapshot
Reducing Energy in GPGPUs through Approximate Trivial Bypassing
inferred← citeshttps://doi.org/10.1145/3436821openalex-snapshot
Leveraging Value Equality Prediction for Value Speculation
inferred← citeshttps://doi.org/10.1145/3453483.3454042openalex-snapshot
Fluid: a framework for approximate concurrency via controlled dependency relaxation
inferred← citeshttps://doi.org/10.1145/3481641openalex-snapshot
L 2 C: Combining Lossy and Lossless Compression on Memory and I/O
inferred← citeshttps://doi.org/10.1145/3583781.3590207openalex-snapshot
A Machine Learning Based Load Value Approximator Guided by the Tightened Value Locality
inferred← citeshttps://doi.org/10.1145/3716845openalex-snapshot
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques
inferred← citeshttps://doi.org/10.1145/3736582openalex-snapshot
ML-based Load Value Approximator for Efficient Multimedia Processing
inferred← citeshttps://doi.org/10.23919/date.2019.8714810openalex-snapshot
SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs
inferred← citeshttps://doi.org/10.23919/date.2019.8714872openalex-snapshot
Data Subsetting: A Data-Centric Approach to Approximate Computing
inferred← citeshttps://doi.org/10.23919/date51398.2021.9474264openalex-snapshot
Value Similarity Extensions for Approximate Computing in General-Purpose Processors
inferred← citeshttps://doi.org/10.3390/electronics13224442openalex-snapshot
A Survey on Design Space Exploration Approaches for Approximate Computing Systems
inferred← citeshttps://doi.org/10.3390/electronics9020373openalex-snapshot
HEAP: A Holistic Error Assessment Framework for Multiple Approximations Using Probabilistic Graphical Models
inferred← citeshttps://doi.org/10.3929/ethz-b-000519275openalex-snapshot
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks
inferred← citeshttps://doi.org/10.48550/arxiv.1609.02067openalex-snapshot
Practical Data Compression for Modern Memory Hierarchies
inferred← citeshttps://doi.org/10.5555/3195638.3195690openalex-snapshot
The bunker cache for spatio-value approximation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.