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researcher

J. Cong

12 papers hereh-index 8629.3k citations646 works total

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

author position
  • first author3
  • middle author2
  • last author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.AR6
  • quant-ph2
  • cs.CV1
  • cs.DC1
  • cs.LG1
  • cs.NI1
same name
  • J. Cong — 3 papers, h 9
  • J. Cong — 2 papers, h 17
  • J. Cong — 1 paper, h 0

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
20182025
most citedLocality and Utilization in Placement Suboptimality

44 citations · 45 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.AR2018

Rapid Cycle-Accurate Simulator for High-Level Synthesis

Yuze Chi, Young-kyu Choi, Jason Cong +1

A large semantic gap between the high-level synthesis (HLS) design and the low-level (on-board or RTL) simulation environment often creates a barrier for those who are not FPGA exp…

cs.DC2018

AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture

Jason Cong, Peng Wei, Cody Hao Yu +1

CPU-FPGA heterogeneous architectures are attracting ever-increasing attention in an attempt to advance computational capabilities and energy efficiency in today's datacenters. Thes…

cs.CV2018

Computed Tomography Image Enhancement using 3D Convolutional Neural Network

Meng Li, Shiwen Shen, Wen Gao +2

Computed tomography (CT) is increasingly being used for cancer screening, such as early detection of lung cancer. However, CT studies have varying pixel spacing due to differences…

cs.AR2018

Best-Effort FPGA Programming: A Few Steps Can Go a Long Way

Jason Cong, Zhenman Fang, Yuchen Hao +4

FPGA-based heterogeneous architectures provide programmers with the ability to customize their hardware accelerators for flexible acceleration of many workloads. Nonetheless, such…

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