Cliff Young

17.5k total citations · 2 hit papers
39 papers, 1.9k citations indexed

About

Cliff Young is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Cliff Young has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hardware and Architecture, 22 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Cliff Young's work include Parallel Computing and Optimization Techniques (31 papers), Advanced Data Storage Technologies (16 papers) and Embedded Systems Design Techniques (6 papers). Cliff Young is often cited by papers focused on Parallel Computing and Optimization Techniques (31 papers), Advanced Data Storage Technologies (16 papers) and Embedded Systems Design Techniques (6 papers). Cliff Young collaborates with scholars based in United States, Germany and United Kingdom. Cliff Young's co-authors include Nishant Patil, Norman P. Jouppi, David A. Patterson, Michael D. Smith, Paolo Faraboschi, Joseph A. Fisher, Michael D. Smith, George Thomas Kurian, David A. Patterson and Sheng Li and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and ACM SIGPLAN Notices.

In The Last Decade

Cliff Young

38 papers receiving 1.8k 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.

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

2023 215 citations Norman P. Jouppi, George Thomas Kurian et al. profile →
Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product

2021 199 citations Norman P. Jouppi, Doe Hyun Yoon et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cliff Young United States	21	1.1k	825	668	452	289	39	1.9k
Walid Najjar United States	29	1.9k 1.8×	1.8k 2.1×	609 0.9×	427 0.9×	235 0.8×	148	2.8k
Daehyun Kim United States	17	763 0.7×	770 0.9×	451 0.7×	335 0.7×	269 0.9×	57	1.6k
Paolo Faraboschi United States	25	1.6k 1.5×	1.4k 1.7×	651 1.0×	382 0.8×	172 0.6×	108	2.5k
Franz Franchetti United States	25	1.6k 1.5×	938 1.1×	803 1.2×	425 0.9×	368 1.3×	124	2.6k
Jean‐Pierre Seifert Germany	29	1.2k 1.1×	607 0.7×	986 1.5×	1.4k 3.0×	154 0.5×	127	2.6k
Mark Oskin United States	27	1.6k 1.5×	1.4k 1.7×	565 0.8×	590 1.3×	161 0.6×	80	2.4k
Uday Bondhugula India	23	1.9k 1.8×	1.4k 1.7×	272 0.4×	467 1.0×	367 1.3×	58	2.4k
Kees Vissers United States	20	1.6k 1.5×	1.1k 1.4×	620 0.9×	276 0.6×	332 1.1×	62	2.2k
Sungpack Hong United States	18	970 0.9×	1.0k 1.3×	398 0.6×	572 1.3×	1.0k 3.5×	42	2.0k
H. Peter Hofstee United States	21	1.6k 1.5×	1.4k 1.7×	752 1.1×	311 0.7×	235 0.8×	78	2.5k

Countries citing papers authored by Cliff Young

Since Specialization

Citations

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

Fields of papers citing papers by Cliff Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cliff Young

This figure shows the co-authorship network connecting the top 25 collaborators of Cliff Young. A scholar is included among the top collaborators of Cliff Young 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 Cliff Young. Cliff Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Jouppi, Norman P., George Thomas Kurian, Sheng Li, et al.. (2023). TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. 1–14. 215 indexed citations breakdown →

2.

Patil, Nishant, Doe Hyun Yoon, George Thomas Kurian, et al.. (2021). The Design Process for Google's Training Chips: TPUv2 and TPUv3. IEEE Micro. 41(2). 56–63. 72 indexed citations

3.

Jouppi, Norman P., Doe Hyun Yoon, Mark Gottscho, et al.. (2021). Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product. 1–14. 199 indexed citations breakdown →

4.

Patil, Nishant, Doe Hyun Yoon, George Thomas Kurian, et al.. (2020). Google's Training Chips Revealed: TPUv2 and TPUv3. 1–70. 24 indexed citations

5.

Jouppi, Norman P., Cliff Young, Nishant Patil, & David A. Patterson. (2018). Motivation for and Evaluation of the First Tensor Processing Unit. IEEE Micro. 38(3). 10–19. 136 indexed citations

6.

Grossman, J.P., Jeffrey S. Kuskin, Joseph A. Bank, et al.. (2013). Hardware support for fine-grained event-driven computation in Anton 2. ACM SIGPLAN Notices. 48(4). 549–560. 3 indexed citations

7.

Young, Cliff, Joseph A. Bank, Ron O. Dror, et al.. (2009). A 32x32x32, spatially distributed 3D FFT in four microseconds on Anton. 1–11. 30 indexed citations

8.

Larson, Richard H., John K. Salmon, Ron O. Dror, et al.. (2008). High-throughput pairwise point interactions in Anton, a specialized machine for molecular dynamics simulation. 331–342. 15 indexed citations

9.

Kuskin, Jeffrey S., Cliff Young, J.P. Grossman, et al.. (2008). Incorporating flexibility in Anton, a specialized machine for molecular dynamics simulation. 343–354. 17 indexed citations

10.

Deneroff, Martin M., David E. Shaw, Ron O. Dror, et al.. (2008). Anton: A specialized ASIC for molecular dynamics. 1–34. 6 indexed citations

11.

Grossman, J.P., John K. Salmon, C. Richard Ho, et al.. (2008). Hierarchical simulation-based verification of Anton, a special-purpose parallel machine. 340–347. 3 indexed citations

12.

Young, Cliff. (2007). Mkit: An IDL Multiscale Toolbox. AAS. 210. 1 indexed citations

13.

Savari, Serap A. & Cliff Young. (2000). Comparing and Combining Profiles.. 2. 17 indexed citations

14.

Young, Cliff & Michael D. Smith. (1998). Better global scheduling using path profiles. International Symposium on Microarchitecture. 115–123. 39 indexed citations

15.

Young, Cliff, David S. Johnson, Michael D. Smith, & David R. Karger. (1997). Near-optimal intraprocedural branch alignment. ACM SIGPLAN Notices. 32(5). 183–193. 5 indexed citations

16.

Young, Cliff, et al.. (1995). A comparative analysis of schemes for correlated branch prediction. ACM SIGARCH Computer Architecture News. 23(2). 276–286. 8 indexed citations

17.

Blackwell, Trevor, James Gwertzman, Brad Karp, et al.. (1994). Secure short-cut routing for mobile IP. UCL Discovery (University College London). 21–21. 19 indexed citations

18.

Young, Cliff & Michael D. Smith. (1994). Improving the accuracy of static branch prediction using branch correlation. ACM SIGOPS Operating Systems Review. 28(5). 232–241. 4 indexed citations

19.

Young, Cliff & Michael D. Smith. (1994). Improving the accuracy of static branch prediction using branch correlation. 232–241. 62 indexed citations

20.

Young, Cliff & Michael D. Smith. (1994). Improving the accuracy of static branch prediction using branch correlation. ACM SIGPLAN Notices. 29(11). 232–241. 65 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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