Joel Emer

25.8k total citations · 13 hit papers
169 papers, 17.5k citations indexed

About

Joel Emer is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Joel Emer has authored 169 papers receiving a total of 17.5k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Hardware and Architecture, 96 papers in Computer Networks and Communications and 65 papers in Electrical and Electronic Engineering. Recurrent topics in Joel Emer's work include Parallel Computing and Optimization Techniques (110 papers), Interconnection Networks and Systems (42 papers) and Advanced Data Storage Technologies (41 papers). Joel Emer is often cited by papers focused on Parallel Computing and Optimization Techniques (110 papers), Interconnection Networks and Systems (42 papers) and Advanced Data Storage Technologies (41 papers). Joel Emer collaborates with scholars based in United States, United Kingdom and Spain. Joel Emer's co-authors include Vivienne Sze, Yu‐Hsin Chen, Tien-Ju Yang, Tushar Krishna, Aamer Jaleel, Simon C. Steely, S. Mukherjee, S.K. Reinhardt, Stephen W. Keckler and Christopher Weaver and has published in prestigious journals such as Science, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

Joel Emer

161 papers receiving 16.8k citations

Hit Papers

Efficient Processing of D... 1996 2026 2006 2016 2017 2016 2016 2019 2017 500 1000 1.5k 2.0k
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.

  1. Efficient Processing of Deep Neural Networks: A Tutorial and Survey
    2017 2.5k citations Vivienne Sze, Yu‐Hsin Chen et al. profile →
  2. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
    2016 2.1k citations Tushar Krishna, Joel Emer et al. IEEE Journal of Solid-State Circuits profile →
  3. Eyeriss
    2016 868 citations Yu‐Hsin Chen, Joel Emer et al. ACM SIGARCH Computer Architecture News profile →
  4. Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices
    2019 689 citations Tien-Ju Yang, Joel Emer et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems profile →
  5. SCNN
    2017 584 citations Joel Emer, Stephen W. Keckler et al. profile →
  6. Exploiting choice
    1996 571 citations Joel Emer et al. profile →
  7. A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor
    2004 535 citations S. Mukherjee, Joel Emer et al. profile →
  8. High performance cache replacement using re-reference interval prediction (RRIP)
    2010 477 citations Aamer Jaleel, Simon C. Steely et al. profile →
  9. Adaptive insertion policies for high performance caching
    2007 442 citations Moinuddin K. Qureshi, Aamer Jaleel et al. profile →
  10. Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks
    2016 351 citations Yu‐Hsin Chen, Joel Emer et al. profile →
  11. Timeloop: A Systematic Approach to DNN Accelerator Evaluation
    2019 344 citations Yu‐Hsin Chen, Victor A. Ying et al. profile →
  12. Understanding error propagation in deep learning neural network (DNN) accelerators and applications
    2017 313 citations Joel Emer, Stephen W. Keckler et al. profile →
  13. There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
    2020 232 citations Charles E. Leiserson, Neil Thompson et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joel Emer 8.6k 8.5k 6.5k 4.9k 4.0k 169 17.5k
Jason Cong 6.9k 0.8× 6.9k 0.8× 4.5k 0.7× 2.5k 0.5× 1.8k 0.4× 404 12.4k
Yuan Xie 14.4k 1.7× 8.3k 1.0× 7.8k 1.2× 2.7k 0.5× 4.1k 1.0× 610 21.5k
Kurt Keutzer 5.1k 0.6× 7.1k 0.8× 3.8k 0.6× 3.4k 0.7× 3.6k 0.9× 304 14.9k
William J. Dally 11.5k 1.3× 14.2k 1.7× 17.4k 2.7× 3.0k 0.6× 2.6k 0.6× 304 25.6k
Yiran Chen 9.1k 1.1× 2.5k 0.3× 3.6k 0.6× 5.0k 1.0× 3.8k 0.9× 601 17.4k
Anand Raghunathan 8.4k 1.0× 6.1k 0.7× 4.5k 0.7× 1.3k 0.3× 2.4k 0.6× 400 14.0k
Farinaz Koushanfar 6.6k 0.8× 6.0k 0.7× 3.1k 0.5× 991 0.2× 3.2k 0.8× 254 11.5k
Krste Asanović 3.5k 0.4× 6.6k 0.8× 6.0k 0.9× 878 0.2× 2.0k 0.5× 222 10.5k
Wayne Luk 2.7k 0.3× 3.4k 0.4× 2.1k 0.3× 1.7k 0.3× 1.8k 0.5× 565 7.6k
Alex X. Liu 5.3k 0.6× 1.5k 0.2× 5.7k 0.9× 1.6k 0.3× 2.8k 0.7× 352 12.1k

Countries citing papers authored by Joel Emer

Since Specialization
Citations

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

Fields of papers citing papers by Joel Emer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Emer

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

All Works

20 of 20 papers shown
1.
Emer, Joel, et al.. (2024). Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. 307–309. 2 indexed citations
2.
Emer, Joel, et al.. (2024). Trapezoid: A Versatile Accelerator for Dense and Sparse Matrix Multiplications. 931–945. 10 indexed citations
3.
Asghari-Moghaddam, Hadi, Michael Pellauer, Kartik Hegde, et al.. (2023). Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling (Extended Abstract). 15–16. 1 indexed citations
4.
Pellauer, Michael, Jason Clemons, Neal Crago, et al.. (2023). Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Transactions on Computer Systems. 41(1-4). 1–30. 6 indexed citations
5.
Fletcher, Christopher W., et al.. (2023). TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators. 1255–1270. 12 indexed citations
6.
Schardl, Tao B., et al.. (2023). Optimizing Compression Schemes for Parallel Sparse Tensor Algebra. 373–373.
7.
Emer, Joel, et al.. (2021). Gamma: leveraging Gustavson’s algorithm to accelerate sparse matrix multiplication. 687–701. 94 indexed citations
8.
Leiserson, Charles E., Neil Thompson, Joel Emer, et al.. (2020). There’s plenty of room at the Top: What will drive computer performance after Moore’s law?. Science. 368(6495). 232 indexed citations breakdown →
9.
Emer, Joel, et al.. (2019). Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs. 1–8. 146 indexed citations
10.
Yang, Tien-Ju, et al.. (2019). Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(2). 292–308. 689 indexed citations breakdown →
11.
Subramanian, Suvinay, et al.. (2017). Fractal. 587–599. 15 indexed citations
12.
Yang, Tien-Ju, Yu‐Hsin Chen, Joel Emer, & Vivienne Sze. (2017). A method to estimate the energy consumption of deep neural networks. 1916–1920. 129 indexed citations
13.
Chen, Yu‐Hsin, Joel Emer, & Vivienne Sze. (2016). Eyeriss. ACM SIGARCH Computer Architecture News. 44(3). 367–379. 868 indexed citations breakdown →
14.
Krishna, Tushar, et al.. (2016). Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE Journal of Solid-State Circuits. 52(1). 127–138. 2115 indexed citations breakdown →
15.
16.
Jaleel, Aamer, et al.. (2012). CRUISE. 249–260. 60 indexed citations
17.
Qureshi, Moinuddin K., Aamer Jaleel, Yale N. Patt, Simon C. Steely, & Joel Emer. (2008). S-D-C A I H-P C. IEEE Micro. 28(1). 91–98. 10 indexed citations
18.
Mukherjee, S., Joel Emer, & S.K. Reinhardt. (2005). The Soft Error Problem: An Architectural Perspective. 243–247. 321 indexed citations
19.
Zilles, Craig, Joel Emer, & Gurindar S. Sohi. (1999). The use of multithreading for exception handling. International Symposium on Microarchitecture. 219–229. 42 indexed citations
20.
Chrysos, George & Joel Emer. (1998). Memory dependence prediction using store sets. 26(3). 142–153. 215 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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