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researcher

Jason Cong

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR3
  • physics.comp-ph1
ORCID 0000-0003-2887-6963
same name
  • Jason Cong — 16 papers, h 8
  • Jason Cong — 12 papers, h 5
  • Jason Cong — 6 papers, h 5
  • Jason Cong — 5 papers, h 6
  • Jason Cong — 4 papers, h 2
  • Jason Cong — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedRevisiting FPGA Acceleration of Molecular Dynamics Simulation with Dynamic Data Flow Behavior in High-Level Synthesis

9 citations · 11 across the 4 of their papers we have counts for

collaborators
Showing cs.ARShow all

3 papers · 1 filter

cs.AR2025★ 1 cited

LLM-DSE: Searching Accelerator Parameters with LLM Agents

Hanyu Wang, Xinrui Wu, Zijian Ding +6

Even though high-level synthesis (HLS) tools mitigate the challenges of programming domain-specific accelerators (DSAs) by raising the abstraction level, optimizing hardware direct…

cs.AR2022

Domain-Specific Quantum Architecture Optimization

Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu +2

With the steady progress in quantum computing over recent years, roadmaps for upscaling quantum processors have relied heavily on the targeted qubit architectures. So far, similarl…

cs.AR2016★ 1 cited

ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architectures

Yu-Ting Chen, Jason Cong, Zhenman Fang +2

Compared to conventional general-purpose processors, accelerator-rich architectures (ARAs) can provide orders-of-magnitude performance and energy gains and are emerging as one of t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.