Kevin Skadron

22.2k total citations · 8 hit papers
280 papers, 16.3k citations indexed

About

Kevin Skadron is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Kevin Skadron has authored 280 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Hardware and Architecture, 130 papers in Electrical and Electronic Engineering and 115 papers in Computer Networks and Communications. Recurrent topics in Kevin Skadron's work include Parallel Computing and Optimization Techniques (150 papers), Low-power high-performance VLSI design (71 papers) and Interconnection Networks and Systems (53 papers). Kevin Skadron is often cited by papers focused on Parallel Computing and Optimization Techniques (150 papers), Low-power high-performance VLSI design (71 papers) and Interconnection Networks and Systems (53 papers). Kevin Skadron collaborates with scholars based in United States, Canada and South Korea. Kevin Skadron's co-authors include Mircea R. Stan, David Tarjan, Karthik Sankaranarayanan, Jiayuan Meng, Michael Garland, Ian Buck, John Nickolls, Jeremy W. Sheaffer, Shuai Che and Wei Huang and has published in prestigious journals such as Bioinformatics, ACM Computing Surveys and Computer.

In The Last Decade

Kevin Skadron

274 papers receiving 15.5k citations

Hit Papers

5 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.

Rodinia: A benchmark suite for heterogeneous computing

2009 2.2k citations Shuai Che, Jiayuan Meng et al. profile →
Scalable Parallel Programming with CUDA

2008 1.1k citations Kevin Skadron et al. profile →
Scalable parallel programming with CUDA

2008 1.1k citations Kevin Skadron et al. profile →
Temperature-aware microarchitecture

2003 922 citations Kevin Skadron, Mircea R. Stan et al. profile →
HotSpot: a compact thermal modeling methodology for early-stage VLSI design

2006 841 citations Wei Huang, Karthik Sankaranarayanan et al. profile →
Temperature-aware microarchitecture

2004 602 citations Kevin Skadron, Mircea R. Stan et al. ACM Transactions on Architecture and Code Optimization profile →
A performance study of general-purpose applications on graphics processors using CUDA

2008 451 citations Shuai Che, Jiayuan Meng et al. profile →
Bubble-Up

2011 451 citations Kevin Skadron et al. profile →

Peers

Countries citing papers authored by Kevin Skadron

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Skadron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Skadron

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Hardware-Software Co-Design of Iterative Filter-Update Numerical Methods Using Processing-In-Memory 2025 ·(unknown), (unknown), (unknown), (unknown), James C. Hoe, Kevin Skadron, Franz Franchetti	0
2	DReX: Accurate and Scalable Dense Retrieval Acceleration via Algorithmic-Hardware Codesign 2025 ·(unknown), (unknown), (unknown), (unknown), Kevin Skadron, Jignesh M. Patel, José F. Martínez, Mohammad Alian	0
3	Architectural Modeling and Benchmarking for Digital DRAM PIM 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ashish Venkat, Kevin Skadron	1
4	Abakus: Accelerating k -mer Counting with Storage Technology 2023 ·ACM Transactions on Architecture and Code Optimization ·(unknown), Minxuan Zhou, Weihong Xu, Ashish Venkat, Tajana Rosing, Kevin Skadron	2
5	Regular expression acceleration on the micron automata processor: Brill tagging as a case study 2015 ·(unknown), Jack Wadden, Jeffrey J. Fox, Ke Wang, Donald E. Brown, Kevin Skadron	13
6	HotSpot 6.0: Validation, Acceleration and Extension 2015 ·Libra ·Runjie Zhang, Mircea R. Stan, Kevin Skadron	92
7	Pannotia: Understanding irregular GPGPU graph applications 2013 ·Shuai Che, Bradford M. Beckmann, Steven K. Reinhardt, Kevin Skadron	149
8	Robust SIMD: Dynamically Adapted SIMD Width and Multi-Threading Depth 2012 ·Jiayuan Meng, Jeremy W. Sheaffer, Kevin Skadron	15
9	Exploring the thermal impact on manycore processor performance 2010 ·Wei Huang, Kevin Skadron, Sudhanva Gurumurthi, Robert J. Ribando, Mircea R. Stan	23
10	Impact of process variations on multicore performance symmetry 2007 ·Design, Automation, and Test in Europe ·(unknown), David Tarjan, Kevin Skadron	98
11	A hardware redundancy and recovery mechanism for reliable scientific computation on graphics processors 2007 ·Jeremy W. Sheaffer, David Luebke, Kevin Skadron	54
12	A Case for Thermal-Aware Floorplanning at the Microarchitectural Level 2005 ·Karthik Sankaranarayanan, Sivakumar Velusamy, Mircea R. Stan, Kevin Skadron	150
13	Hybrid architectural dynamic thermal management 2004 ·Design, Automation, and Test in Europe ·Kevin Skadron	53
14	Control-theoretic techniques and thermal-RC modeling for accurate and localized dynamic thermal management 2004 ·Kevin Skadron, Tarek Abdelzaher, Mircea R. Stan	303
15	State-preserving vs. non-state-preserving leakage control in caches 2004 ·Design, Automation, and Test in Europe ·Yingmin Li, Dharmesh Parikh, Yan Zhang, Karthik Sankaranarayanan, Mircea R. Stan, Kevin Skadron	38
16	Temperature-Aware Microarchitecture: Extended Discussion and Results 2003 ·Kevin Skadron, Mircea R. Stan, Wei Huang, (unknown), Karthik Sankaranarayanan, David Tarjan	29
17	HotLeakage: A Temperature-Aware Model of Subthreshold and Gate Leakage for Architects 2003 ·(unknown), Dharmesh Parikh, Karthik Sankaranarayanan, Kevin Skadron, Mircea R. Stan	119
18	Proceedings of the 34th annual ACM/IEEE international symposium on Microarchitecture 2001 ·International Symposium on Microarchitecture ·Yale N. Patt, (unknown), Paolo Faraboschi, Kevin Skadron	45
19	A Taxonomy of Branch Mispredictions, and Alloyed Prediction as a Robust Solution to Wrong-History Mispredictions 2000 ·International Conference on Parallel Architectures and Compilation Techniques ·Kevin Skadron, Margaret Martonosi, Douglas W. Clark	17
20	Speculative Updates of Local and Global Branch History: A Quantitative Analysis. 2000 ·Kevin Skadron, Margaret Martonosi, Douglas W. Clark	32

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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