Eric Tune
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Information Systems top 0.5%
- Cloud Computing and Resource Management
Papers in
-
- Parallel Computing and Optimization Techniques 10
- Real-Time Systems Scheduling 1
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- Cloud Computing and Resource Management 3
- Co-authors
- John Wilkes (2 shared papers)David Oppenheimer (1 shared paper)Abhishek Verma (1 shared paper)Luis D. Pedrosa (1 shared paper)Madhukar R. Korupolu (1 shared paper)Dean Michael Tullsen (6 shared papers)Brad Calder (4 shared papers)Robert B. Hagmann (2 shared papers)
- Journals
- IEEE Micro (1 paper)European Conference on Computer Systems (1 paper)Proceedings of the ... annual International Symposium on Microarchitecture (1 paper)Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings (2 papers)International Conference on Parallel Architectures and Compilation Techniques (2 papers)
- Partner nations
- United States
In The Last Decade
Eric Tune
12 papers receiving 1.8k citations
Eric Tune's Hit Papers
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 612
- Information Systems 1k
- Computer Networks and Communications 501
- Software 20
- Artificial Intelligence 74
Countries citing papers authored by Eric Tune
This map shows the geographic impact of Eric Tune'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 Eric Tune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tune more than expected).
Fields of papers citing papers by Eric Tune
This network shows the impact of papers produced by Eric Tune. 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 Eric Tune. The network helps show where Eric Tune may publish in the future.
Co-authors
The 20 scholars most cited alongside Eric Tune, 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 | Large-scale cluster management at Google with Borg Hit paper breakdown → | 2015 | 1014 |
| 2 | CPI 2 Hit paper breakdown → | 2013 | 235 |
| 3 | 2010 | 144 | |
| 4 | 2004 | 114 | |
| 5 | 2002 | 90 | |
| 6 | 2013 | 57 | |
| 7 | 2001 | 55 | |
| 8 | 2002 | 38 | |
| 9 | 2005 | 33 | |
| 10 | 2003 | 24 | |
| 11 | 2005 | 11 | |
| 12 | Critical-Path Aware Processor Architectures | 2004 | 2 |
About Eric Tune
Eric Tune is a scholar working on Hardware and Architecture, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Nuclear Energy and Engineering, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Cloud Computing and Resource Management (3 papers), Low-power high-performance VLSI design (2 papers), Software System Performance and Reliability (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Hardware and Architecture (612 citations), Information Systems (1k citations), Computer Networks and Communications (501 citations), Software (20 citations) and Artificial Intelligence (74 citations). Eric Tune has collaborated with scholars based in United States. Frequent co-authors include John Wilkes, David Oppenheimer, Abhishek Verma, Luis D. Pedrosa, Madhukar R. Korupolu, Dean Michael Tullsen, Brad Calder, Robert B. Hagmann, Xiao Zhang and Eric Borch. Their work appears in journals such as IEEE Micro, European Conference on Computer Systems, Proceedings of the ... annual International Symposium on Microarchitecture, Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings and International Conference on Parallel Architectures and Compilation Techniques.
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.