Randy Huang

935 total citations · 1 hit paper
14 papers, 539 citations indexed

About

Randy Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Randy Huang has authored 14 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 8 papers in Computer Networks and Communications and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Randy Huang's work include Interconnection Networks and Systems (8 papers), Embedded Systems Design Techniques (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Randy Huang is often cited by papers focused on Interconnection Networks and Systems (8 papers), Embedded Systems Design Techniques (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Randy Huang collaborates with scholars based in United States, Türkiye and Israel. Randy Huang's co-authors include John Wawrzynek, Eriko Nurvitadhi, Jaewoong Sim, Duncan J. M. Moss, Guy Boudoukh, Srivatsan Krishnan, Debbie Marr, Ganesh Venkatesh, Suchit Subhaschandra and André DeHon and has published in prestigious journals such as Nano Letters and Microprocessors and Microsystems.

In The Last Decade

Randy Huang

14 papers receiving 510 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?

2017 287 citations Eriko Nurvitadhi, Ganesh Venkatesh et al. profile →

Peers

Randy Huang

EEE

HA

CNC

CVPR

AI

Stephan Wong Netherlands

Behnam Khaleghi United States

M. B. Abdelhalim Egypt

Xuan‐Tu Tran Vietnam

Anju P. Johnson United Kingdom

Mladen Bereković Germany

Xuan Yang United States

David Sheffield United States

Ahmed Sanaullah United States

Stephan Wong Netherlands

Randy Huang

312 ×1.1

EEE

658 ×2.4

HA

490 ×2.4

CNC

163 ×1.1

CVPR

83 ×0.9

AI

Citations per year, relative to Randy Huang Randy Huang (= 1×) peers Stephan Wong

Countries citing papers authored by Randy Huang

Since Specialization

Citations

This map shows the geographic impact of Randy Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Randy Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randy Huang more than expected).

Fields of papers citing papers by Randy Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randy Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Randy Huang. The network helps show where Randy Huang may publish in the future.

Co-authorship network of co-authors of Randy Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Randy Huang. A scholar is included among the top collaborators of Randy Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Randy Huang. Randy Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Huang, Randy, et al.. (2024). Distributed Training of Large Language Models on AWS Trainium. 961–976. 2 indexed citations

2.

Afthinos, Alexandros, Kaustav Bera, Junjie Chen, et al.. (2022). Migration and 3D Traction Force Measurements inside Compliant Microchannels. Nano Letters. 22(18). 7318–7327. 28 indexed citations

3.

Nurvitadhi, Eriko, Ganesh Venkatesh, Jaewoong Sim, et al.. (2017). Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?. 5–14. 287 indexed citations breakdown →

4.

Huang, Randy, et al.. (2017). Application of convolutional neural networks on Intel® Xeon® processor with integrated FPGA. 10. 1–7. 9 indexed citations

5.

Huang, Randy, et al.. (2017). Fine-Grained Acceleration of Binary Neural Networks Using Intel® Xeon® Processor with Integrated FPGA. 135–135. 5 indexed citations

6.

Schmit, Herman & Randy Huang. (2016). Dissecting Xeon + FPGA. 152–153. 6 indexed citations

7.

DeHon, André, Michael Chu, Randy Huang, et al.. (2006). Stream computations organized for reconfigurable execution. Microprocessors and Microsystems. 30(6). 334–354. 50 indexed citations

8.

DeHon, André, Randy Huang, & John Wawrzynek. (2006). Stochastic spatial routing for reconfigurable networks. Microprocessors and Microsystems. 30(6). 301–318. 6 indexed citations

9.

Huang, Randy & John Wawrzynek. (2004). Hardware-assisted fast routing for runtime reconfigurable computing. 2 indexed citations

10.

Huang, Randy, John Wawrzynek, & André DeHon. (2003). Stochastic, spatial routing for hypergraphs, trees, and meshes. 78–87. 12 indexed citations

11.

Huang, Randy, John Wawrzynek, & André DeHon. (2003). Stochastic, spatial routing for hypergraphs, trees, and meshes. 1 indexed citations

12.

Huang, Randy, et al.. (2002). Analysis of quasi-static scheduling techniques in a virtualized reconfigurable machine. 196–205. 15 indexed citations

13.

Chu, Michael, et al.. (2000). Stream Computations Organized for Reconfigurable Execution (SCORE): Introduction and Tutorial. 29 indexed citations

14.

Huang, Randy, et al.. (1999). HSRA. 125–134. 87 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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