Ronny Krashinsky

1.5k citations
20 papers · 1.1k · 1 hit paper · h-index 13

Impact in

Papers in

Ronny Krashinsky

20 papers receiving 1.0k citations

Ronny Krashinsky's Hit Papers

NVIDIA A100 Tensor Core GPU: Performance and Innovation 2021 · 245 citations
2450+1+3Years since publication50100150200

Peers

Ronny Krashinsky
Comparison fields: 5 of 55
  • Hardware and Architecture 501
  • Computational Mathematics 19
  • Computer Networks and Communications 698
  • Electrical and Electronic Engineering 480
  • Computer Vision and Pattern Recognition 108
Replace Suvinay Subramanian with:
Suvinay Subramanian United States
Doe Hyun Yoon United States
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Citations per field
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Citations per year

Countries citing papers authored by Ronny Krashinsky

Since Specialization
Citations

This map shows the geographic impact of Ronny Krashinsky'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 Ronny Krashinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronny Krashinsky more than expected).

Fields of papers citing papers by Ronny Krashinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronny Krashinsky. 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 Ronny Krashinsky. The network helps show where Ronny Krashinsky may publish in the future.

Co-authors

The 21 scholars most cited alongside Ronny Krashinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ronny Krashinsky Line = papers co-authored together Ronny Krashinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
NVIDIA A100 Tensor Core GPU: Performance and Innovation
Hit paper breakdown →
2021245
2 2002221
3 2005118
4 2004107
5 2012104
6 201359
7 200448
8 202141
9 200733
10 201422
11 200521
12 200220
13 200213
14 20019
15 20086
16
SyCHOSys: Compiled Energy-Performance Cycle Simulation
20006
17
A Parameterizable FPGA Prototype of a Vector-Thread Processor
20046
18 20022
19
Scale Control Processor Test-Chip
20072
20
A Scalable Cellular Logic Technology Using Zinc-Finger Proteins
20041

About Ronny Krashinsky

Ronny Krashinsky is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Embedded Systems Design Techniques (9 papers), Advanced Data Storage Technologies (6 papers), Green IT and Sustainability (4 papers), Interconnection Networks and Systems (4 papers), Low-power high-performance VLSI design (4 papers), Wireless Networks and Protocols (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Hardware and Architecture (501 citations), Computational Mathematics (19 citations), Computer Networks and Communications (698 citations), Electrical and Electronic Engineering (480 citations) and Computer Vision and Pattern Recognition (108 citations). Ronny Krashinsky has collaborated with scholars based in United States. Frequent co-authors include Hari Balakrishnan, Krste Asanović, Olivier Giroux, Christopher Batten, Brucek Khailany, Stephen W. Keckler, Jared Casper, Mark Hampton, Mark Gebhart and William J. Dally. Their work appears in journals such as IEEE Micro, ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Wireless Networks and ACM SIGARCH Computer Architecture News.

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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