Adwait Jog

2.5k citations

63 papers · 1.8k · h-index 22

Impact in

Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Computer Networks and Communications top 0.5%
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems

Papers in

Hardware and Architecture 52
- Parallel Computing and Optimization Techniques 49
Computer Networks and Communications 48
- Advanced Data Storage Technologies 33
- Interconnection Networks and Systems 14
- Distributed and Parallel Computing Systems 8
- Distributed systems and fault tolerance 6

Co-authors: Chita R. Das (26 shared papers)Mahmut Kandemir (25 shared papers)Onur Kayıran (23 shared papers)Onur Mutlu (15 shared papers)Asit Mishra (8 shared papers)Ravishankar K. Iyer (7 shared papers)Nachiappan Chidambaram Nachiappan (4 shared papers)Ashutosh Pattnaik (10 shared papers)
Journals: ACM SIGMETRICS Performance Evaluation Review (2 papers)ACM SIGPLAN Notices (2 papers)IEEE Transactions on Computers (1 paper)Proceedings of the ACM on Measurement and Analysis of Computing Systems (3 papers)International Conference on Parallel Architectures and Compilation Techniques (1 paper)
Partner nations: United States Canada Switzerland

In The Last Decade

Adwait Jog

62 papers receiving 1.8k citations

Peers

Countries citing papers authored by Adwait Jog

Since Specialization

Citations

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

Fields of papers citing papers by Adwait Jog

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Adwait Jog, 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 Adwait Jog Line = papers co-authored together Adwait Jog links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	OWL Adwait Jog, Onur Kayıran, Nachiappan Chidambaram Nachiappan, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravishankar K. Iyer, Chita R. Das	2013	207
2	Cache revive Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Adwait Jog, Asit Mishra, Cong Xu, Yuan Xie, Vijaykrishnan Narayanan, Ravishankar Iyer, Chita R. Das	2012	198
3	Neither more nor less: optimizing thread-level parallelism for GPGPUs International Conference on Parallel Architectures and Compilation Techniques ·Onur Kayıran, Adwait Jog, Mahmut Kandemir, Chita R. Das	2013	174
4	Orchestrated scheduling and prefetching for GPGPUs Adwait Jog, Onur Kayıran, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravishankar K. Iyer, Chita R. Das	2013	146
5	Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayıran, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Chita R. Das	2016	114
6	Managing GPU Concurrency in Heterogeneous Architectures Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) ·Onur Kayıran, Nachiappan Chidambaram Nachiappan, Adwait Jog, Rachata Ausavarungnirun, Mahmut Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das	2014	100
7	A case for core-assisted bottleneck acceleration in GPUs Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut Kandemir, Todd C. Mowry, Onur Mutlu	2015	79
8	Anatomy of GPU Memory System for Multi-Application Execution Adwait Jog, Onur Kayıran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut Kandemir, Chita R. Das	2015	77
9	MASK Rachata Ausavarungnirun, Vance Miller, Joshua Landgraf, Saugata Ghose, Jayneel Gandhi, Adwait Jog, Christopher J. Rossbach, Onur Mutlu	2018	50
10	Controlled Kernel Launch for Dynamic Parallelism in GPUs Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayıran, Adwait Jog, Sreepathi Pai, Mohamed Assem Ibrahim, Mahmut Kandemir, Chita R. Das	2017	40
11	Exploiting Core Criticality for Enhanced GPU Performance Adwait Jog, Onur Kayıran, Ashutosh Pattnaik, Mahmut Kandemir, Onur Mutlu, Ravishankar K. Iyer, Chita R. Das	2016	40
12	Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications Bin Nie, Lishan Yang, Adwait Jog, Evgenia Smirni	2018	37
13	OWL ACM SIGPLAN Notices ·Adwait Jog, Onur Kayıran, Nachiappan Chidambaram Nachiappan, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravishankar K. Iyer, Chita R. Das	2013	34
14	Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut Kandemir, Chita R. Das	2014	33
15	Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management Haonan Wang, Fan Luo, Mohamed Assem Ibrahim, Onur Kayıran, Adwait Jog	2018	33
16	Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut Kandemir, Chita R. Das	2014	31
17	RCoal: Mitigating GPU Timing Attack via Subwarp-Based Randomized Coalescing Techniques Gurunath Kadam, Danfeng Zhang, Adwait Jog	2018	30
18	Practical Resilience Analysis of GPGPU Applications in the Presence of Single- and Multi-Bit Faults IEEE Transactions on Computers ·Lishan Yang, Bin Nie, Adwait Jog, Evgenia Smirni	2020	29
19	Opportunistic computing in GPU architectures Ashutosh Pattnaik, Xulong Tang, Onur Kayıran, Adwait Jog, Asit Mishra, Mahmut Kandemir, Anand Sivasubramaniam, Chita R. Das	2019	29
20	Zorua: A holistic approach to resource virtualization in GPUs Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu	2016	28

About Adwait Jog

Adwait Jog is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (49 papers), Advanced Data Storage Technologies (33 papers), Cloud Computing and Resource Management (16 papers), Interconnection Networks and Systems (14 papers), Radiation Effects in Electronics (9 papers), Distributed and Parallel Computing Systems (8 papers), Advanced Memory and Neural Computing (6 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Hardware and Architecture (1.5k citations), Computer Networks and Communications (1.4k citations), Information Systems (449 citations), Electrical and Electronic Engineering (529 citations) and Computer Vision and Pattern Recognition (149 citations). Adwait Jog has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Chita R. Das, Mahmut Kandemir, Onur Kayıran, Onur Mutlu, Asit Mishra, Ravishankar K. Iyer, Nachiappan Chidambaram Nachiappan, Ashutosh Pattnaik, Rachata Ausavarungnirun and Evgenia Smirni. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, ACM SIGPLAN Notices, IEEE Transactions on Computers, Proceedings of the ACM on Measurement and Analysis of Computing Systems 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.

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