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ORCIDNorman Rubin
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2020 – today
- 2024
[c26]Nicolas Bohm Agostini
, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO 2024: 143-157- 2023
- [i2]Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR abs/2312.14821 (2023) - 2021
- [i1]Ian Colbert, Jake Daly, Norm Rubin:
Generating GPU Compiler Heuristics using Reinforcement Learning. CoRR abs/2111.12055 (2021) - 2020
- [j4]Charu Kalra, Fritz Previlon, Norm Rubin, David R. Kaeli:
ArmorAll: Compiler-based Resilience Targeting GPU Applications. ACM Trans. Archit. Code Optim. 17(2): 9:1-9:24 (2020) - [c25]Trinayan Baruah, Yifan Sun, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance. PACT 2020: 455-466 - [c24]Trinayan Baruah, Yifan Sun, Ali Tolga Dinçer, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. HPCA 2020: 596-609
2010 – 2019
- 2018
- [c23]Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin:
Airavat: Improving energy efficiency of heterogeneous applications. DATE 2018: 731-736 - [c22]Venmugil Elango, Norm Rubin, Mahesh Ravishankar, Hariharan Sandanagobalane, Vinod Grover:
Diesel: DSL for linear algebra and neural net computations on GPUs. MAPL@PLDI 2018: 42-51 - [c21]Cham Kalra, Fritz Previlon, Xiangyu Li, Norman Rubin, David R. Kaeli:
PRISM: predicting resilience of GPU applications using statistical methods. SC 2018: 69:1-69:14 - 2017
- [c20]Leiming Yu, Xun Gong, Yifan Sun, Qianqian Fang, Norm Rubin, David R. Kaeli:
Moka: Model-based concurrent kernel analysis. IISWC 2017: 197-206 - 2016
- [c19]Jin Wang, Norm Rubin, Albert Sidelnik, Sudhakar Yalamanchili:
LaPerm: Locality Aware Scheduler for Dynamic Parallelism on GPUs. ISCA 2016: 583-595 - 2015
- [c18]Ping Xiang, Yi Yang, Mike Mantor, Norm Rubin, Huiyang Zhou:
Revisiting ILP Designs for Throughput-Oriented GPGPU Architecture. CCGRID 2015: 121-130 - [c17]Jin Wang, Norm Rubin, Albert Sidelnik, Sudhakar Yalamanchili:
Dynamic thread block launch: a lightweight execution mechanism to support irregular applications on GPUs. ISCA 2015: 528-540 - 2014
- [c16]Jin Wang, Norman Rubin, Sudhakar Yalamanchili:
ParallelJS: An Execution Framework for JavaScript on Heterogeneous Systems. GPGPU@ASPLOS 2014: 72 - [c15]Yi Yang, Ping Xiang, Michael Mantor, Norman Rubin, Lisa R. Hsu, Qunfeng Dong, Huiyang Zhou:
A Case for a Flexible Scalar Unit in SIMT Architecture. IPDPS 2014: 93-102 - [c14]Norm Rubin:
Heterogeneous computing: what does it mean for compiler research? PPoPP 2014: 315-316 - 2013
- [c13]Jin Wang, Norman Rubin, Haicheng Wu, Sudhakar Yalamanchili:
Accelerating simulation of agent-based models on heterogeneous architectures. GPGPU@ASPLOS 2013: 108-119 - [c12]Ping Xiang, Yi Yang, Mike Mantor, Norm Rubin, Lisa R. Hsu, Huiyang Zhou:
Exploiting uniform vector instructions for GPGPU performance, energy efficiency, and opportunistic reliability enhancement. ICS 2013: 433-442 - [c11]Zhongliang Chen, David R. Kaeli, Norman Rubin:
Characterizing scalar opportunities in GPGPU applications. ISPASS 2013: 225-234 - 2012
- [c10]Yi Yang, Ping Xiang, Mike Mantor, Norm Rubin, Huiyang Zhou:
Shared memory multiplexing: a novel way to improve GPGPU throughput. PACT 2012: 283-292 - [c9]Ping Xiang, Yi Yang, Mike Mantor, Norm Rubin, Huiyang Zhou:
Many-thread aware instruction-level parallelism: architecting shader cores for GPU computing. PACT 2012: 449-450 - [c8]Enqiang Sun, Dana Schaa, Richard Bagley, Norman Rubin, David R. Kaeli:
Enabling task-level scheduling on heterogeneous platforms. GPGPU@ASPLOS 2012: 84-93 - 2011
- [c7]Balaji Dhanasekaran, Norman Rubin:
A new method for GPU based irregular reductions and its application to k-means clustering. GPGPU 2011: 2 - [c6]Perhaad Mistry, Chris Gregg, Norman Rubin, David R. Kaeli, Kim M. Hazelwood:
Analyzing program flow within a many-kernel OpenCL application. GPGPU 2011: 10 - 2010
- [c5]Budirijanto Purnomo, Norman Rubin, Michael Houston:
ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs. SIGGRAPH Posters 2010: 54:1
2000 – 2009
1990 – 1999
- 1998
- [j3]Anton Chernoff, Mark A. Herdeg, Raymond J. Hookway, Chris Reeve, Norman Rubin, Tony Tye, S. Bharadwaj Yadavalli, John Yates:
FX!32 a profile-directed binary translator. IEEE Micro 18(2): 56-64 (1998) - 1997
- [j2]Vasanth Bala, Norman Rubin:
Efficient instruction scheduling using finite state automata. Int. J. Parallel Program. 25(2): 53-82 (1997) - 1995
- [c2]Vasanth Bala, Norman Rubin:
Efficient instruction scheduling using finite state automata. MICRO 1995: 46-56 - 1993
- [c1]Norman Rubin:
Data Flow Computing and the Conjugate Gradient Method. Architectures and Compilation Techniques for Fine and Medium Grain Parallelism 1993: 257-264
1970 – 1979
- 1978
- [j1]Malcolm C. Harrison, Norman Rubin:
Another Generalization of Resolution. J. ACM 25(3): 341-351 (1978)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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