Reena Panda
Reena Panda
Verified email at utexas.edu
TitleCited byYear
B-fetch: Branch prediction directed prefetching for chip-multiprocessors
D Kadjo, J Kim, P Sharma, R Panda, P Gratz, D Jimenez
2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 623-634, 2014
332014
Wait of a Decade: Did SPEC CPU 2017 Broaden the Performance Horizon?
R Panda, S Song, J Dean, LK John
HPCA, 2018
302018
Data partitioning strategies for graph workloads on heterogeneous clusters
M LeBeane, S Song, R Panda, JH Ryoo, LK John
SC'15: Proceedings of the International Conference for High Performance …, 2015
302015
Performance characterization of modern databases on out-of-order cpus
R Panda, C Erb, M Lebeane, JH Ryoo, LK John
2015 27th International Symposium on Computer Architecture and High …, 2015
172015
Data analytics workloads: Characterization and similarity analysis
R Panda, LK John
2014 IEEE 33rd International Performance Computing and Communications …, 2014
172014
Proxy-guided load balancing of graph processing workloads on heterogeneous clusters
S Song, M Li, X Zheng, M LeBeane, JH Ryoo, R Panda, A Gerstlauer, ...
2016 45th International Conference on Parallel Processing (ICPP), 77-86, 2016
122016
Proxy benchmarks for emerging big-data workloads
R Panda, LK John
2017 26th International Conference on Parallel Architectures and Compilation …, 2017
112017
B-fetch: Branch prediction directed prefetching for in-order processors
R Panda, PV Gratz, DA Jiménez
IEEE Computer Architecture Letters 11 (2), 41-44, 2011
112011
Accurate address streams for llc and beyond (slab): A methodology to enable system exploration
R Panda, X Zheng, LK John
2017 IEEE International Symposium on Performance Analysis of Systems and …, 2017
92017
Statistical pattern based modeling of GPU memory access streams
R Panda, X Zheng, J Wang, A Gerstlauer, LK John
Proceedings of the 54th Annual Design Automation Conference 2017, 81, 2017
82017
Prefetching for cloud workloads: An analysis based on address patterns
J Wang, R Panda, LK John
2017 IEEE International Symposium on Performance Analysis of Systems and …, 2017
82017
Prefetching techniques for near-memory throughput processors
R Panda, Y Eckert, N Jayasena, O Kayiran, M Boyer, LK John
Proceedings of the 2016 International Conference on Supercomputing, 40, 2016
82016
Watt watcher: Fine-grained power estimation for emerging workloads
M LeBeane, JH Ryoo, R Panda, LK John
2015 27th International Symposium on Computer Architecture and High …, 2015
72015
Method and system for managing and/or transferring information
K Hoffman, J Anzalone, C Cormack
US Patent App. 10/310,981, 2003
72003
Genesys: Automatically generating representative training sets for predictive benchmarking
R Panda, X Zheng, S Song, JH Ryoo, M LeBeane, A Gerstlauer, LK John
2016 International Conference on Embedded Computer Systems: Architectures …, 2016
62016
Selsmap: A selective stride masking prefetching scheme
J Wang, R Panda, LK John
ACM Transactions on Architecture and Code Optimization (TACO) 15 (4), 42, 2019
42019
Camp: Accurate modeling of core and memory locality for proxy generation of big-data applications
R Panda, X Zheng, A Gerstlauer, LK John
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 337-342, 2018
42018
Gpgpu benchmark suites: How well do they sample the performance spectrum?
JH Ryoo, SJ Quirem, M Lebeane, R Panda, S Song, LK John
2015 44th International Conference on Parallel Processing, 320-329, 2015
42015
Experiments with spec cpu 2017: Similarity, balance, phase behavior and simpoints
S Song, Q Wu, S Flolid, J Dean, R Panda, J Deng, LK John
Tech. Rep. TR-180515-01, LCA Group, Department of Electrical and Computer …, 2018
32018
POSTER: SILC-FM: Subblocked InterLeaved Cache-Like Flat Memory Organization
JH Ryoo, MR Meswani, R Panda, LK John
2016 International Conference on Parallel Architecture and Compilation …, 2016
22016
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