Adwait Jog
Hardware and Architecture · 2013–2018
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 50 citations into it
- Computer Networks and Communications — 46 citations into it
Whom Adwait Jog trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Onur Mutlu
- Thomas Moscibroda
- Ali Bakhoda
- Veynu Narasiman
- Bingsheng He
- Yoongu Kim
- Wilson W. L. Fung
- George L. Yuan
- Henry Wong
Papers from Adwait Jog's perspective
Ordered by how strongly the researchers Adwait Jog trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimization principles and application performance evaluation of a multithreaded GPU using CUDA (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
- Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow (Micro)
- Memory access scheduling (Proceedings of 27th International Symposium on Computer Architecture (IEEE Cat. No.RS00201))
- NVIDIA Tesla: A Unified Graphics and Computing Architecture
- Memory Performance Attacks: Denial of Memory Service in Multi-Core Systems (USENIX Security Symposium)
- Parallelism-Aware Batch Scheduling: Enhancing both Performance and Fairness of Shared DRAM Systems (International Symposium on Computer Architecture)
- Program optimization space pruning for a multithreaded gpu (IEEE/ACM International Symposium on Code Generation and Optimization)
- System-Level Performance Metrics for Multiprogram Workloads (IEEE Micro)
- Analyzing CUDA workloads using a detailed GPU simulator (IEEE International Symposium on Performance Analysis of Systems and Software)
- Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior (Micro)
Their papers
- MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency (2018) — 119 citations
- Zorua: A holistic approach to resource virtualization in GPUs (2016) — 67 citations
- OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance (2013) — 301 citations