Michael Pellauer
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques 43
- Embedded Systems Design Techniques 28
- Computational Mathematics top 2%
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- Interconnection Networks and Systems 17
- Advanced Data Storage Technologies 13
- Distributed systems and fault tolerance 7
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- Advanced Neural Network Applications 7
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- Advanced Memory and Neural Computing 5
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- Particle Detector Development and Performance 5
- Co-authors
- Angshuman ParasharJoel EmerTushar KrishnaHyoukjun KwonPrasanth ChatarasiVivek SarkarMichael AdlerDaniel Lustig
- Journals
- IEEE Micro (4 papers)ACM Transactions on Computer Systems (2 papers)ACM SIGMETRICS Performance Evaluation Review (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Michael Pellauer
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 1000
- Computational Mathematics 54
- Computer Networks and Communications 656
- Computer Vision and Pattern Recognition 323
- Electrical and Electronic Engineering 516
Countries citing papers authored by Michael Pellauer
This map shows the geographic impact of Michael Pellauer'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 Michael Pellauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pellauer more than expected).
Fields of papers citing papers by Michael Pellauer
This network shows the impact of papers produced by Michael Pellauer. 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 Michael Pellauer. The network helps show where Michael Pellauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Pellauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2020 | 116 | |
| 11 | A Data-Centric Approach for Modeling and Estimating Efficiency of Dataflows for Accelerator Design | 2018 | 5 |
| 12 | MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators | 2018 | 20 |
| 13 | Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach | 2018 | 3 |
| 14 | An Analytic Model for Cost-Benefit Analysis of Dataflows in DNN Accelerators | 2018 | 3 |
| 15 | 2017 | 14 | |
| 16 | Exploring the Trisection of Software, Hardware, and ISA in Memory Model Design. | 2016 | 2 |
| 17 | 2015 | 4 | |
| 18 | 2015 | 23 | |
| 19 | 2009 | 8 | |
| 20 | 2008 | 23 |
About Michael Pellauer
Michael Pellauer is a scholar working on Hardware and Architecture, Computational Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (43 papers), Embedded Systems Design Techniques (28 papers), Interconnection Networks and Systems (17 papers), Advanced Data Storage Technologies (13 papers), Distributed systems and fault tolerance (7 papers), Advanced Neural Network Applications (7 papers), Particle Detector Development and Performance (5 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Hardware and Architecture (1000 citations), Computational Mathematics (54 citations), Computer Networks and Communications (656 citations), Computer Vision and Pattern Recognition (323 citations) and Electrical and Electronic Engineering (516 citations). Michael Pellauer has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Angshuman Parashar, Joel Emer, Tushar Krishna, Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Michael Adler, Daniel Lustig, Neal Crago and Margaret Martonosi. Their work appears in journals such as IEEE Micro, ACM Transactions on Computer Systems, ACM SIGMETRICS Performance Evaluation Review, ACM SIGPLAN Notices and ACM Transactions on Reconfigurable Technology and Systems.
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.