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2020 – today
- 2021
[j57]George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva
, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster:
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117: 387-400 (2021)- [j56]Jacob Lambert, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony:
Optimization with the OpenACC-to-FPGA framework on the Arria 10 and Stratix 10 FPGAs. Parallel Comput. 104-105: 102784 (2021) - [j55]Gregory J. Herschlag, Seyong Lee, Jeffrey S. Vetter, Amanda Randles:
Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm. IEEE Trans. Parallel Distributed Syst. 32(10): 2400-2414 (2021) - [c161]Zheming Jin, Jeffrey S. Vetter:
Evaluating the Performance of Integer Sum Reduction in SYCL on GPUs. ICPP Workshops 2021: 34:1-34:8 - [c160]Zheming Jin, Jeffrey S. Vetter:
Evaluating CUDA Portability with HIPCL and DPCT. IPDPS Workshops 2021: 371-376 - [c159]Zheming Jin, Jeffrey S. Vetter:
Evaluating the Performance of Integer Sum Reduction on an Intel GPU. IPDPS Workshops 2021: 652-655 - [c158]Narasinga Rao Miniskar, Frank Liu, Jeffrey S. Vetter:
A Memory Efficient Lock-Free Circular Queue. ISCAS 2021: 1-5 - [c157]Anthony M. Cabrera, Aaron R. Young, Jacob Lambert, Zhili Xiao, Amy An, Seyong Lee, Zheming Jin, Jungwon Kim, Jeremy Buhler, Roger D. Chamberlain, Jeffrey S. Vetter:
Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs. IWOCL 2021: 7:1-7:9 - [c156]Yuanchao Xu, Mehmet Esat Belviranli, Xipeng Shen, Jeffrey S. Vetter:
PCCS: Processor-Centric Contention-aware Slowdown Model for Heterogeneous System-on-Chips. MICRO 2021: 1282-1295 - [c155]Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter:
A Hierarchical Task Scheduler for Heterogeneous Computing. ISC 2021: 57-76 - 2020
- [c154]Mohammad Alaul Haque Monil, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony:
MEPHESTO: Modeling Energy-Performance in Heterogeneous SoCs and Their Trade-Offs. PACT 2020: 413-425 - [c153]Frank Liu, Narasinga Rao Miniskar, Dwaipayan Chakraborty, Jeffrey S. Vetter:
Deffe: a data-efficient framework for performance characterization in domain-specific computing. CF 2020: 182-191 - [c152]Blaise Tine, Seyong Lee, Jeffrey S. Vetter, Hyesoon Kim:
Productive Hardware Designs using Hybrid HLS-RTL Development. FPGA 2020: 311 - [c151]Blaise Tine, Fares Elsabbagh, Seyong Lee, Jeffrey S. Vetter, Hyesoon Kim:
Cash: A Single-Source Hardware-Software Codesign Framework for Rapid Prototyping. FPGA 2020: 321 - [c150]Jacob Lambert, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony:
In-Depth Optimization with the OpenACC-to-FPGA Framework on an Arria 10 FPGA. IPDPS Workshops 2020: 460-470 - [c149]Roberto Gioiosa, Burcu Ozcelik Mutlu, Seyong Lee, Jeffrey S. Vetter, Giulio Picierro, Marco Cesati:
The Minos Computing Library: efficient parallel programming for extremely heterogeneous systems. GPGPU@PPoPP 2020: 1-10 - [c148]Camille Coti, Joel E. Denny, Kevin A. Huck, Seyong Lee, Allen D. Malony, Sameer Shende, Jeffrey S. Vetter:
OpenACC Profiling Support for Clang and LLVM using Clacc and TAU. HUST/ProTools@SC 2020: 38-48 - [c147]Beau Johnston, Jeffrey S. Vetter, Josh Milthorpe:
Evaluating the Performance and Portability of Contemporary SYCL Implementations. P3HPC@SC 2020: 45-56 - [c146]Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony:
Understanding the Impact of Memory Access Patterns in Intel Processors. MCHPC@SC 2020: 52-61 - [c145]Jacob Lambert, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony:
CCAMP: an integrated translation and optimization framework for OpenACC and OpenMP. SC 2020: 98
2010 – 2019
- 2019
- [j54]Jungwon Kim, Jeffrey S. Vetter:
Implementing efficient data compression and encryption in a persistent key-value store for HPC. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j53]Seyong Lee, John Gounley, Amanda Randles, Jeffrey S. Vetter:
Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures. J. Parallel Distributed Comput. 129: 1-13 (2019) - [c144]Blaise-Pascal Tine, Sudhakar Yalamanchili, Hyesoon Kim, Jeffrey S. Vetter:
POSTER: Tango: An Optimizing Compiler for Just-In-Time RTL Simulation. PACT 2019: 481-482 - [c143]Ivy Bo Peng, Jeffrey S. Vetter, Shirley Moore, Joydeep Rakshit, Stefano Markidis:
Analyzing the suitability of contemporary 3D-stacked PIM architectures for HPC scientific applications. CF 2019: 256-262 - [c142]Jacob Lambert, Seyong Lee, Allen D. Malony, Jeffrey S. Vetter:
CCAMP: OpenMP and OpenACC Interoperable Framework. Euro-Par Workshops 2019: 357-369 - [c141]Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter:
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. IPDPS 2019: 188-199 - [c140]Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter:
TensorFlow Doing HPC. IPDPS Workshops 2019: 509-518 - [c139]Forrest Shriver, Seyong Lee, Steven Hamilton, Jeffrey S. Vetter, Justin Watson:
Enhancing Monte Carlo proxy applications on GPUs. PMBS@SC 2019: 30-40 - [i5]Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter:
TensorFlow Doing HPC. CoRR abs/1903.04364 (2019) - 2018
- [j52]Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter:
The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32(1): 159-175 (2018) - [j51]Mariam Umar, Shirley V. Moore, Jeremy S. Meredith, Jeffrey S. Vetter, Kirk W. Cameron:
Aspen-based performance and energy modeling frameworks. J. Parallel Distributed Comput. 120: 222-236 (2018) - [j50]Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Jeffrey S. Vetter, Pietro Cicotti, Erwin Laure, Stefano Markidis:
Characterizing the performance benefit of hybrid memory system for HPC applications. Parallel Comput. 76: 57-69 (2018) - [c138]Ivy Bo Peng, Jeffrey S. Vetter, Shirley V. Moore, Seyong Lee:
Tuyere: enabling scalable memory workloads for system exploration. HPDC 2018: 180-191 - [c137]Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter:
Designing Algorithms for the EMU Migrating-threads-based Architecture. HPEC 2018: 1-7 - [c136]Jacob Lambert, Seyong Lee, Jungwon Kim, Jeffrey S. Vetter, Allen D. Malony:
Directive-Based, High-Level Programming and Optimizations for High-Performance Computing with FPGAs. ICS 2018: 160-171 - [c135]Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, Seyong Lee:
Highly Efficient Compensation-Based Parallelism for Wavefront Loops on GPUs. IPDPS 2018: 276-285 - [c134]Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter:
NVIDIA Tensor Core Programmability, Performance & Precision. IPDPS Workshops 2018: 522-531 - [c133]Gregory Herschlag, Seyong Lee, Jeffrey S. Vetter, Amanda Randles:
GPU Data Access on Complex Geometries for D3Q19 Lattice Boltzmann Method. IPDPS 2018: 825-834 - [c132]Mariam Umar, Shirley V. Moore, Jeffrey S. Vetter, Kirk W. Cameron:
Prometheus: Coherent Exploration of Hardware and Software Optimizations Using Aspen. MASCOTS 2018: 244-250 - [c131]Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, Laxmi N. Bhuyan:
Juggler: a dependence-aware task-based execution framework for GPUs. PPOPP 2018: 54-67 - [c130]Pak Markthub, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, Satoshi Matsuoka:
DRAGON: breaking GPU memory capacity limits with direct NVM access. SC 2018: 32:1-32:13 - [c129]Ivy Bo Peng, Jeffrey S. Vetter:
Siena: exploring the design space of heterogeneous memory systems. SC 2018: 33:1-33:14 - [i4]Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter:
NVIDIA Tensor Core Programmability, Performance & Precision. CoRR abs/1803.04014 (2018) - [i3]Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter:
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. CoRR abs/1810.08955 (2018) - 2017
- [j49]Sparsh Mittal, Jeffrey S. Vetter, Lei Jiang:
Addressing Read-Disturbance Issue in STT-RAM by Data Compression and Selective Duplication. IEEE Comput. Archit. Lett. 16(2): 94-98 (2017) - [j48]Ewa Deelman, Christopher D. Carothers, Anirban Mandal, Brian Tierney, Jeffrey S. Vetter, Ilya Baldin, Claris Castillo, Gideon Juve, Dariusz Król, Vickie E. Lynch, Benjamin Mayer, Jeremy S. Meredith, Thomas Proffen, Paul Ruth, Rafael Ferreira da Silva:
PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows. Int. J. High Perform. Comput. Appl. 31(1): 4-18 (2017) - [j47]Jeffrey S. Vetter, Erik P. DeBenedictis, Thomas M. Conte:
Architectures for the Post-Moore Era. IEEE Micro 37(4): 6-8 (2017) - [c128]Vickie E. Lynch, Jose Borreguero Calvo, Ewa Deelman, Rafael Ferreira da Silva, Monojoy Goswami, Yawei Hui, Eric J. Lingerfelt, Jeffrey S. Vetter:
Distributed workflows for modeling experimental data. HPEC 2017: 1-5 - [c127]Jungwon Kim, Kittisak Sajjapongse, Seyong Lee, Jeffrey S. Vetter:
Design and Implementation of Papyrus: Parallel Aggregate Persistent Storage. IPDPS 2017: 1151-1162 - [c126]Joel Edward Denny, Seyong Lee, Jeffrey S. Vetter:
Language-Based Optimizations for Persistence on Nonvolatile Main Memory Systems. IPDPS 2017: 1163-1173 - [c125]Sparsh Mittal, Rajendra Bishnoi, Fabian Oboril, Haonan Wang, Mehdi Baradaran Tahoori, Adwait Jog, Jeffrey S. Vetter:
Architecting SOT-RAM Based GPU Register File. ISVLSI 2017: 38-44 - [c124]Christopher D. Carothers, Jeremy S. Meredith, Mark P. Blanco, Jeffrey S. Vetter, Misbah Mubarak, Justin M. LaPre, Shirley Moore:
Durango: Scalable Synthetic Workload Generation for Extreme-Scale Application Performance Modeling and Simulation. SIGSIM-PADS 2017: 97-108 - [c123]Jungwon Kim, Seyong Lee, Jeffrey S. Vetter:
PapyrusKV: a high-performance parallel key-value store for distributed NVM architectures. SC 2017: 57:1-57:14 - [c122]Sparsh Mittal, Haonan Wang, Adwait Jog, Jeffrey S. Vetter:
Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File. VLSI Design 2017: 409-414 - [i2]Anshu Dubey, Paul H. J. Kelly, Bernd Mohr, Jeffrey S. Vetter:
Performance Portability in Extreme Scale Computing (Dagstuhl Seminar 17431). Dagstuhl Reports 7(10): 84-110 (2017) - 2016
- [j46]Sparsh Mittal, Jeffrey S. Vetter:
Reliability Tradeoffs in Design of Volatile and Nonvolatile Caches. J. Circuits Syst. Comput. 25(11): 1650139:1-1650139:14 (2016) - [j45]Sparsh Mittal, Jeffrey S. Vetter:
A Survey of Techniques for Modeling and Improving Reliability of Computing Systems. IEEE Trans. Parallel Distributed Syst. 27(4): 1226-1238 (2016) - [j44]Sparsh Mittal, Jeffrey S. Vetter:
A Survey Of Architectural Approaches for Data Compression in Cache and Main Memory Systems. IEEE Trans. Parallel Distributed Syst. 27(5): 1524-1536 (2016) - [j43]Sparsh Mittal, Jeffrey S. Vetter:
A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems. IEEE Trans. Parallel Distributed Syst. 27(5): 1537-1550 (2016) - [j42]Sparsh Mittal, Jeffrey S. Vetter:
A Survey Of Techniques for Architecting DRAM Caches. IEEE Trans. Parallel Distributed Syst. 27(6): 1852-1863 (2016) - [j41]Sparsh Mittal, Jeffrey S. Vetter:
EqualWrites: Reducing Intra-Set Write Variations for Enhancing Lifetime of Non-Volatile Caches. IEEE Trans. Very Large Scale Integr. Syst. 24(1): 103-114 (2016) - [c121]Sparsh Mittal, Jeffrey S. Vetter:
Reducing Soft-error Vulnerability of Caches using Data Compression. ACM Great Lakes Symposium on VLSI 2016: 197-202 - [c120]Jeffrey S. Vetter:
Preparing for Supercomputing's Sixth Wave. HPDC 2016: 1 - [c119]Joel E. Denny, Seyong Lee, Jeffrey S. Vetter:
NVL-C: Static Analysis Techniques for Efficient, Correct Programming of Non-Volatile Main Memory Systems. HPDC 2016: 125-136 - [c118]Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal:
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. HPDC 2016: 141-152 - [c117]Jungwon Kim, Seyong Lee, Jeffrey S. Vetter:
IMPACC: A Tightly Integrated MPI+OpenACC Framework Exploiting Shared Memory Parallelism. HPDC 2016: 189-201 - [c116]Seyong Lee, Jungwon Kim, Jeffrey S. Vetter:
OpenACC to FPGA: A Framework for Directive-Based High-Performance Reconfigurable Computing. IPDPS 2016: 544-554 - [c115]Anirban Mandal, Paul Ruth, Ilya Baldin, Dariusz Król, Gideon Juve, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Jeremy S. Meredith, Jeffrey S. Vetter, Vickie E. Lynch, Benjamin Mayer, James Wynne, Mark P. Blanco, Christopher D. Carothers, Justin M. LaPre, Brian Tierney:
Toward an End-to-End Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows. IPDPS Workshops 2016: 1370-1379 - [c114]Rishiraj A. Bheda, Thomas M. Conte, Jeffrey S. Vetter:
Improving DRAM Bandwidth Utilization with MLP-Aware OS Paging. MEMSYS 2016: 289-294 - [c113]Mariam Umar, Jeremy S. Meredith, Jeffrey S. Vetter, Kirk W. Cameron:
A Study of Power-Performance Modeling Using a Domain-Specific Language. SBAC-PAD 2016: 84-92 - 2015
- [j40]Sparsh Mittal, Jeffrey S. Vetter:
AYUSH: A Technique for Extending Lifetime of SRAM-NVM Hybrid Caches. IEEE Comput. Archit. Lett. 14(2): 115-118 (2015) - [j39]Jeffrey S. Vetter, Sparsh Mittal:
Opportunities for Nonvolatile Memory Systems in Extreme-Scale High-Performance Computing. Comput. Sci. Eng. 17(2): 73-82 (2015) - [j38]Sparsh Mittal, Jeffrey S. Vetter:
A Survey of CPU-GPU Heterogeneous Computing Techniques. ACM Comput. Surv. 47(4): 69:1-69:35 (2015) - [j37]Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter:
Understanding Portability of a High-Level Programming Model on Contemporary Heterogeneous Architectures. IEEE Micro 35(4): 48-58 (2015) - [j36]Kyle L. Spafford, Jeffrey S. Vetter:
Automated Design Space Exploration with Aspen. Sci. Program. 2015: 157305:1-157305:10 (2015) - [j35]Sparsh Mittal, Jeffrey S. Vetter, Dong Li:
A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-Volatile On-Chip Caches. IEEE Trans. Parallel Distributed Syst. 26(6): 1524-1537 (2015) - [c112]Matt Poremba, Sparsh Mittal, Dong Li, Jeffrey S. Vetter, Yuan Xie:
DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches. DATE 2015: 1543-1546 - [c111]Philip C. Roth, Jeremy S. Meredith, Jeffrey S. Vetter:
Automated Characterization of Parallel Application Communication Patterns. HPDC 2015: 73-84 - [c110]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations. ICS 2015: 119-130 - [c109]Seyong Lee, Jeremy S. Meredith, Jeffrey S. Vetter:
COMPASS: A Framework for Automated Performance Modeling and Prediction. ICS 2015: 405-414 - [c108]Sparsh Mittal, Jeffrey S. Vetter:
AYUSH: Extending Lifetime of SRAM-NVM Way-Based Hybrid Caches Using Wear-Leveling. MASCOTS 2015: 112-121 - [c107]Jungwon Kim, Seyong Lee, Jeffrey S. Vetter:
An OpenACC-based unified programming model for multi-accelerator systems. PPOPP 2015: 257-258 - [c106]M. Graham Lopez, Jeffrey S. Young, Jeremy S. Meredith, Philip C. Roth, Mitchel D. Horton, Jeffrey S. Vetter:
Examining recent many-core architectures and programming models using SHOC. PMBS@SC 2015: 3:1-3:12 - [c105]Joel E. Denny, Seyong Lee, Jeffrey S. Vetter:
FITL: extending LLVM for the translation of fault-injection directives. LLVM@SC 2015: 4:1-4:11 - [e2]Jackie Kern, Jeffrey S. Vetter:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2015, Austin, TX, USA, November 15-20, 2015. ACM 2015, ISBN 978-1-4503-3723-6 [contents] - 2014
- [j34]Anthony Danalis, Piotr Luszczek, Gabriel Marin, Jeffrey S. Vetter, Jack J. Dongarra:
BlackjackBench: Portable Hardware Characterization with Automated Results' Analysis. Comput. J. 57(7): 1002-1016 (2014) - [j33]Yuan Tian, Cong Xu, Weikuan Yu, Jeffrey S. Vetter, Scott Klasky, Honggao Liu, Saad Biaz:
neCODEC: nearline data compression for scientific applications. Clust. Comput. 17(2): 475-486 (2014) - [j32]Sparsh Mittal, Jeffrey S. Vetter:
A Survey of Methods for Analyzing and Improving GPU Energy Efficiency. ACM Comput. Surv. 47(2): 19:1-19:23 (2014) - [c104]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. PACT 2014: 497-498 - [c103]Sparsh Mittal, Jeffrey S. Vetter, Dong Li:
WriteSmoothing: improving lifetime of non-volatile caches using intra-set wear-leveling. ACM Great Lakes Symposium on VLSI 2014: 139-144 - [c102]Sparsh Mittal, Jeffrey S. Vetter, Dong Li:
Improving energy efficiency of embedded DRAM caches for high-end computing systems. HPDC 2014: 99-110 - [c101]Seyong Lee, Jeffrey S. Vetter:
OpenARC: open accelerator research compiler for directive-based, efficient heterogeneous computing. HPDC 2014: 115-120 - [c100]Seyong Lee, Dong Li, Jeffrey S. Vetter:
Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing. IPDPS 2014: 481-490 - [c99]Jeffrey S. Vetter:
AsHES Keynote. IPDPS Workshops 2014: 907 - [c98]Sparsh Mittal, Jeffrey S. Vetter, Dong Li:
LastingNVCache: A Technique for Improving the Lifetime of Non-volatile Caches. ISVLSI 2014: 534-540 - [c97]Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter:
Evaluating Performance Portability of OpenACC. LCPC 2014: 51-66 - [c96]Sparsh Mittal, Jeffrey S. Vetter:
EqualChance: Addressing Intra-set Write Variation to Increase Lifetime of Non-volatile Caches. INFLOW 2014 - [c95]Seyong Lee, Jeffrey S. Vetter:
OpenARC: extensible OpenACC compiler framework for directive-based accelerator programming study. WACCPD@SC 2014: 1-11 - [c94]Sarat Sreepathi, M. L. Grodowitz, Robert V. Lim, Philip Taffet, Philip C. Roth, Jeremy S. Meredith, Seyong Lee, Dong Li, Jeffrey S. Vetter:
Application characterization using Oxbow toolkit and PADS infrastructure. Co-HPC@SC 2014: 55-63 - [c93]Li Yu, Dong Li, Sparsh Mittal, Jeffrey S. Vetter:
Quantitatively Modeling Application Resilience with the Data Vulnerability Factor. SC 2014: 695-706 - [c92]Jeffrey S. Young, M. Graham Lopez, Mitchel D. Horton, Richard Glassbrook, Jeffrey S. Vetter:
Advanced Application Support for Improved GPU Utilization on Keeneland. XSEDE 2014: 6:1-6:6 - [i1]Sparsh Mittal, Jeffrey S. Vetter:
A Survey of Methods For Analyzing and Improving GPU Energy Efficiency. CoRR abs/1404.4629 (2014) - 2013
- [b1]Jeffrey S. Vetter:
Contemporary High Performance Computing - From Petascale toward Exascale. Chapman and Hall / CRC computational science series, CRC Press 2013, ISBN 978-1-4665-6834-1, pp. I-XXVII, 1-702 - [j31]Kyle Spafford, Jeffrey S. Vetter, Thomas Benson, Mike Parker:
Modeling synthetic aperture radar computation with Aspen. Int. J. High Perform. Comput. Appl. 27(3): 255-262 (2013) - [j30]Jeffrey S. Vetter, Padma Raghavan:
Special Issue: Selected Papers from Super Computing 2012. Sci. Program. 21(3-4): 63-64 (2013) - [c91]Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey S. Vetter:
Exploring hybrid memory for GPU energy efficiency through software-hardware co-design. PACT 2013: 93-102 - [c90]Dong Li, Seyong Lee, Jeffrey S. Vetter:
Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection. Euro-Par Workshops 2013: 670-679 - [c89]Sparsh Mittal, Zhao Zhang, Jeffrey S. Vetter:
FlexiWay: A cache energy saving technique using fine-grained cache reconfiguration. ICCD 2013: 100-107 - [c88]Gabriel Marin, Collin McCurdy, Jeffrey S. Vetter:
Diagnosis and optimization of application prefetching performance. ICS 2013: 303-312 - [c87]Bin Wang, Yizheng Jiao, Weikuan Yu, Xipeng Shen, Dong Li, Jeffrey S. Vetter:
A Versatile Performance and Energy Simulation Tool for Composite GPU Global Memory. MASCOTS 2013: 298-302 - [c86]Jeffrey S. Vetter, Seyong Lee, Dong Li, Gabriel Marin, Collin McCurdy, Jeremy S. Meredith, Philip C. Roth, Kyle Spafford:
Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications. PMBS@SC 2013: 3-24 - [c85]Dong Li, Zizhong Chen, Panruo Wu, Jeffrey S. Vetter:
Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach. SC 2013: 44:1-44:12 - [c84]Collin McCurdy, Gabriel Marin, Jeffrey S. Vetter:
Characterizing the Impact of Prefetching on Scientific Application Performance. PMBS@SC 2013: 115-135 - 2012
- [j29]Yuan Tian, Weikuan Yu, Jeffrey S. Vetter:
RXIO: Design and implementation of high performance RDMA-capable GridFTP. Comput. Electr. Eng. 38(3): 772-784 (2012) - [j28]Vinod Tipparaju, Edoardo Aprà, Weikuan Yu, Xinyu Que, Jeffrey S. Vetter:
Runtime Techniques to Enable a Highly-Scalable Global Address Space Model for Petascale Computing. Int. J. Parallel Program. 40(6): 633-655 (2012) - [j27]Weikuan Yu, Xinyu Que, Vinod Tipparaju, Jeffrey S. Vetter:
HiCOO: Hierarchical cooperation for scalable communication in Global Address Space programming models on Cray XT systems. J. Parallel Distributed Comput. 72(11): 1481-1492 (2012) - [j26]Anthony Danalis, Piotr Luszczek, Gabriel Marin, Jeffrey S. Vetter, Jack J. Dongarra:
BlackjackBench: portable hardware characterization. SIGMETRICS Perform. Evaluation Rev. 40(2): 74-79 (2012) - [c83]Vinod Tipparaju, Jeffrey S. Vetter:
GA-GPU: extending a library-based global address spaceprogramming model for scalable heterogeneouscomputing systems. Conf. Computing Frontiers 2012: 53-64 - [c82]Kyle Spafford, Jeremy S. Meredith, Seyong Lee, Dong Li, Philip C. Roth, Jeffrey S. Vetter:
The tradeoffs of fused memory hierarchies in heterogeneous computing architectures. Conf. Computing Frontiers 2012: 103-112 - [c81]Dong Li, Jeffrey S. Vetter, Gabriel Marin, Collin McCurdy, Cristian Cira, Zhuo Liu, Weikuan Yu:
Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications. IPDPS 2012: 945-956 - [c80]Anthony Danalis, Collin McCurdy, Jeffrey S. Vetter:
Efficient Quality Threshold Clustering for Parallel Architectures. IPDPS 2012: 1068-1079 - [c79]Zhuo Liu, Bin Wang, Patrick Carpenter, Dong Li, Jeffrey S. Vetter, Weikuan Yu:
PCM-Based Durable Write Cache for Fast Disk I/O. MASCOTS 2012: 451-458 - [c78]