On the public citation graph

Exploiting Loop-Array Dependencies to Accelerate the Design Space Exploration with High Level Synthesis

0 signed · 25 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-71436-8_7openalex-snapshot
Enhancing FPGA CAD Flow with AI-Powered Solutions
inferred← citeshttps://doi.org/10.1007/978-3-319-26408-0_8openalex-snapshot
Source-to-Source Optimization for HLS
inferred← citeshttps://doi.org/10.1007/978-3-319-54840-1_2openalex-snapshot
Accelerating Data Analytics Kernels with Heterogeneous Computing
inferred← citeshttps://doi.org/10.1007/s13369-022-07177-7openalex-snapshot
N-PIR: A Neighborhood-Based Pareto Iterative Refinement Approach for High-Level Synthesis
inferred← citeshttps://doi.org/10.1016/j.jestch.2021.11.004openalex-snapshot
Q-PIR: A quantile based Pareto iterative refinement approach for high-level synthesis
inferred← citeshttps://doi.org/10.1016/j.vlsi.2022.09.006openalex-snapshot
Machine learning based fast and accurate High Level Synthesis design space exploration: From graph to synthesis
inferred← citeshttps://doi.org/10.1016/j.vlsi.2023.102052openalex-snapshot
MVSym: Efficient symbiotic exploitation of HLS-kernel multi-versioning for collaborative CPU-FPGA cloud systems
inferred← citeshttps://doi.org/10.1016/j.vlsi.2025.102513openalex-snapshot
A systematic review of machine learning-driven design space exploration in high-level synthesis
inferred← citeshttps://doi.org/10.1109/aiccsa.2017.26openalex-snapshot
Performance Exploration of AMBA AXI4 Bus Protocols for Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1109/coins65080.2025.11125726openalex-snapshot
TimelyHLS: LLM-Based Timing-Aware and Architecture-Specific FPGA HLS Optimization
inferred← citeshttps://doi.org/10.1109/dac.2018.8465940openalex-snapshot
Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture
inferred← citeshttps://doi.org/10.1109/iccad.2017.8203809openalex-snapshot
COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications
inferred← citeshttps://doi.org/10.1109/iccd56317.2022.00038openalex-snapshot
Scheduling Information-Guided Efficient High-Level Synthesis Design Space Exploration
inferred← citeshttps://doi.org/10.1109/iscas51556.2021.9401684openalex-snapshot
Effective High-Level Synthesis Design Space Exploration through a Novel Cost Function Formulation
inferred← citeshttps://doi.org/10.1109/sbcci55532.2022.9893223openalex-snapshot
On the benefits of Collaborative Thread Throttling and HLS-Versioning in CPU-FPGA Environments
inferred← citeshttps://doi.org/10.1109/sbesc65055.2024.10771920openalex-snapshot
An Automatic Framework for Collaborative CPU Thread Throttling and FPGA HLS-Versioning
inferred← citeshttps://doi.org/10.1109/tcad.2019.2912916openalex-snapshot
Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA
inferred← citeshttps://doi.org/10.1109/tcad.2019.2943570openalex-snapshot
High-Level Synthesis Design Space Exploration: Past, Present, and Future
inferred← citeshttps://doi.org/10.1109/tcad.2020.3012750openalex-snapshot
Leveraging Prior Knowledge for Effective Design-Space Exploration in High-Level Synthesis
inferred← citeshttps://doi.org/10.1109/tcad.2023.3258341openalex-snapshot
Fast and Inexpensive High-Level Synthesis Design Space Exploration: Machine Learning to the Rescue
inferred← citeshttps://doi.org/10.1145/3041219openalex-snapshot
Parallel High-Level Synthesis Design Space Exploration for Behavioral IPs of Exact Latencies
inferred← citeshttps://doi.org/10.1145/3061639.3062251openalex-snapshot
FlexCL
inferred← citeshttps://doi.org/10.1145/3572959openalex-snapshot
AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis
inferred← citeshttps://doi.org/10.23919/date48585.2020.9116309openalex-snapshot
Efficient and Robust High-Level Synthesis Design Space Exploration through offline Micro-kernels Pre-characterization
inferred← citeshttps://doi.org/10.70675/d7388d6czb24fz476az802az93b81127a017openalex-snapshot
Parallel reconfigurable hardware architectures for video processing applications
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.