Onur Mutlu
Impact in
- Hardware and Architecture top 0.01%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computer Networks and Communications top 0.05%
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
Papers in
-
- Parallel Computing and Optimization Techniques 351
-
- Advanced Data Storage Technologies 54
- Interconnection Networks and Systems 42
- Co-authors
- Thomas Moscibroda (21 shared papers)Yale N. Patt (65 shared papers)Yoongu Kim (19 shared papers)Saugata Ghose (68 shared papers)Donghyuk Lee (30 shared papers)Jeremie S. Kim (49 shared papers)Engin İpek (6 shared papers)Vivek Seshadri (29 shared papers)
- Journals
- IEEE Micro (20 papers)ACM SIGMETRICS Performance Evaluation Review (13 papers)Bioinformatics (13 papers)IEEE Computer Architecture Letters (13 papers)ACM SIGPLAN Notices (12 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Onur Mutlu
538 papers receiving 33.5k citations
Onur Mutlu's Hit Papers
Peers
Comparison fields: 5 of 152
- Hardware and Architecture 20.6k
- Computer Networks and Communications 9.1k
- Artificial Intelligence 4.9k
- Electrical and Electronic Engineering 6.8k
- Information Systems 950
Countries citing papers authored by Onur Mutlu
This map shows the geographic impact of Onur Mutlu'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 Onur Mutlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Mutlu more than expected).
Fields of papers citing papers by Onur Mutlu
This network shows the impact of papers produced by Onur Mutlu. 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 Onur Mutlu. The network helps show where Onur Mutlu may publish in the future.
Co-authors
The 25 scholars most cited alongside Onur Mutlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 556 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Architecting phase change memory as a scalable dram alternative Hit paper breakdown → | 2009 | 1126 |
| 2 | Flipping bits in memory without accessing them Hit paper breakdown → | 2014 | 699 |
| 3 | A scalable processing-in-memory accelerator for parallel graph processing Hit paper breakdown → | 2015 | 611 |
| 4 | Ramulator: A Fast and Extensible DRAM Simulator Hit paper breakdown → | 2015 | 574 |
| 5 | Personalized copy number and segmental duplication maps using next-generation sequencing Hit paper breakdown → | 2009 | 547 |
| 6 | Parallelism-Aware Batch Scheduling Hit paper breakdown → | 2008 | 369 |
| 7 | RAIDR Hit paper breakdown → | 2012 | 368 |
| 8 | Ambit Hit paper breakdown → | 2017 | 354 |
| 9 | PIM-enabled instructions Hit paper breakdown → | 2015 | 343 |
| 10 | Evaluating STT-RAM as an energy-efficient main memory alternative Hit paper breakdown → | 2013 | 335 |
| 11 | Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior Hit paper breakdown → | 2010 | 334 |
| 12 | ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers Hit paper breakdown → | 2010 | 329 |
| 13 | Improving GPU performance via large warps and two-level warp scheduling Hit paper breakdown → | 2011 | 329 |
| 14 | Flipping bits in memory without accessing them: An experimental study of DRAM disturbance errors Hit paper breakdown → | 2014 | 327 |
| 15 | A case for bufferless routing in on-chip networks Hit paper breakdown → | 2009 | 318 |
| 16 | Runahead execution: an alternative to very large instruction windows for out-of-order processors Hit paper breakdown → | 2003 | 314 |
| 17 | Parallelism-Aware Batch Scheduling: Enhancing both Performance and Fairness of Shared DRAM Systems Hit paper breakdown → | 2008 | 314 |
| 18 | 2010 | 312 | |
| 19 | Base-delta-immediate compression Hit paper breakdown → | 2012 | 292 |
| 20 | Stall-Time Fair Memory Access Scheduling for Chip Multiprocessors Hit paper breakdown → | 2007 | 285 |
About Onur Mutlu
Onur Mutlu is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, having authored 556 papers that have together received 34.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (351 papers), Advanced Data Storage Technologies (54 papers), Low-power high-performance VLSI design (48 papers), Security and Verification in Computing (44 papers), Interconnection Networks and Systems (42 papers), Genomics and Phylogenetic Studies (41 papers), Algorithms and Data Compression (31 papers) and Advanced Memory and Neural Computing (24 papers). The work is most often cited by research in Hardware and Architecture (20.6k citations), Computer Networks and Communications (9.1k citations), Artificial Intelligence (4.9k citations), Electrical and Electronic Engineering (6.8k citations) and Information Systems (950 citations). Onur Mutlu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Thomas Moscibroda, Yale N. Patt, Yoongu Kim, Saugata Ghose, Donghyuk Lee, Jeremie S. Kim, Engin İpek, Vivek Seshadri, Erich F. Haratsch and Rachata Ausavarungnirun. Their work appears in journals such as IEEE Micro, ACM SIGMETRICS Performance Evaluation Review, Bioinformatics, IEEE Computer Architecture Letters and ACM SIGPLAN Notices.
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.