Eric Tune

2.4k citations

12 papers · 1.6k indexed · 2 hit papers · h-index 10

Impact in

Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
Computer Networks and Communications top 1%
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Software System Performance and Reliability
- Interconnection Networks and Systems
- Distributed systems and fault tolerance

Papers in

Hardware and Architecture 11
- Parallel Computing and Optimization Techniques 11
- Embedded Systems Design Techniques 5
Computer Networks and Communications 10
- Interconnection Networks and Systems 4
- Advanced Data Storage Technologies 3
- Distributed systems and fault tolerance 2

Co-authors: John Wilkes David Oppenheimer Abhishek Verma Madhukar Korupolu Luis Pedrosa Dean M. Tullsen Brad CalderXiao Zhang
Journals: IEEE Micro (1 paper)International Conference on Parallel Architectures and Compilation Techniques (1 paper)eScholarship (California Digital Library) (1 paper)International Symposium on Microarchitecture (1 paper)
Partner nations: United States

In The Last Decade

Eric Tune

12 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Large-scale cluster management at Google with Borg 2015 · 849 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2015 Large-scale cluster management at Google with Borg
2013 CPI ²

Peers

Countries citing papers authored by Eric Tune

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

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12 of 12 papers shown

#	Work
1	Large-scale cluster management at Google with Borg Abhishek Verma, Luis Pedrosa, Madhukar Korupolu, David Oppenheimer, Eric Tune, John Wilkes Hit paper breakdown →	2015	849
2	CPI ² Xiao Zhang, Eric Tune, Robert B. Hagmann, Hakimeh Tarasi, Mouna Kratou, John Wilkes Hit paper breakdown →	2013	226
3	Optimizing Google's warehouse scale computers: The NUMA experience Lingjia Tang, Jason Mars, Xiao Zhang, Robert B. Hagmann, Н. Станкова, Eric Tune	2013	50
4	Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers IEEE Micro ·Gang Ren, Eric Tune, Tipp Moseley, Laurece Lecordier, Silvius Rus, Robert Hundt	2010	134
5	Balanced Multithreading: Increasing Throughput via a Low Cost Multithreading Hierarchy Eric Tune, Rakesh Kumar, Dean M. Tullsen, Brad Calder	2005	33
6	Reducing power with dynamic critical path information John Seng, Eric Tune, Dean M. Tullsen	2005	9
7	Critical-path aware processor architectures eScholarship (California Digital Library) ·Eric Tune, Brad Calder, Dean M. Tullsen	2004	2
8	Loose loops sink chips Eric Borch, Eric Tune, Srilatha Manne, Joel Emer	2004	119
9	Quantifying instruction criticality Eric Tune, Dean M. Tullsen, Brad Calder	2003	17
10	Quantifying instruction criticality International Conference on Parallel Architectures and Compilation Techniques ·Eric Tune, Dean M. Tullsen, Brad Calder	2002	31
11	Dynamic prediction of critical path instructions Eric Tune, Μέρκος Θωμά Ψιψίκας, Dean M. Tullsen, Brad Calder	2002	91
12	Reducing power with dynamic critical path information International Symposium on Microarchitecture ·John Seng, Eric Tune, Dean M. Tullsen	2001	52

About Eric Tune

Eric Tune is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Infectious Diseases, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (5 papers), Interconnection Networks and Systems (4 papers), Cloud Computing and Resource Management (4 papers), Advanced Data Storage Technologies (3 papers), Radiation Effects in Electronics (2 papers), Distributed systems and fault tolerance (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Hardware and Architecture (577 citations), Computer Networks and Communications (1.4k citations), Information Systems (1.1k citations), Information Systems and Management (44 citations) and Artificial Intelligence (156 citations). Eric Tune has collaborated with scholars based in United States. Frequent co-authors include John Wilkes, David Oppenheimer, Abhishek Verma, Madhukar Korupolu, Luis Pedrosa, Dean M. Tullsen, Brad Calder, Xiao Zhang, Robert B. Hagmann and Eric Borch. Their work appears in journals such as IEEE Micro, International Conference on Parallel Architectures and Compilation Techniques, eScholarship (California Digital Library) and International Symposium on Microarchitecture.

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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