


Остановите войну!
for scientists:
Jeffrey S. Vetter
Person information

Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
- [j58]Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Andrew A. Chien, Raymond Bair, Jeffrey S. Vetter, John Shalf
:
Preparing for the Future - Rethinking Proxy Applications. Comput. Sci. Eng. 24(2): 85-90 (2022) - [c172]Zheming Jin, Jeffrey S. Vetter:
Performance portability study of epistasis detection using SYCL on NVIDIA GPU. BCB 2022: 69:1-69:8 - [c171]Zheming Jin, Jeffrey S. Vetter:
Integer Sum Reduction with OpenMP on an AMD MI100 GPU. IPDPS Workshops 2022: 496-499 - [c170]Zheming Jin, Jeffrey S. Vetter:
Evaluating Unified Memory Performance in HIP. IPDPS Workshops 2022: 562-568 - [c169]Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter:
Design and analysis of CXL performance models for tightly-coupled heterogeneous computing. ExHET@PPOPP 2022: 1:1-1:6 - [c168]Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony:
MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs. ISC 2022: 233-255 - [i6]Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Ray Bair, Andrew A. Chien, Jeffrey S. Vetter, John Shalf:
Preparing for the Future - Rethinking Proxy Apps. CoRR abs/2204.07336 (2022) - 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) - [c167]Pedro Valero-Lara
, Jungwon Kim
, Oscar Hernandez, Jeffrey S. Vetter
:
OpenMP Target Task: Tasking and Target Offloading on Heterogeneous Systems. Euro-Par Workshops 2021: 445-455 - [c166]Leonel Toledo, Pedro Valero-Lara, Jeffrey S. Vetter, Antonio J. Peña:
Static Graphs for Coding Productivity in OpenACC. HiPC 2021: 364-369 - [c165]Anthony M. Cabrera, Seth Hitefield, Jungwon Kim
, Seyong Lee, Narasinga Rao Miniskar, Jeffrey S. Vetter:
Toward Performance Portable Programming for Heterogeneous Systems on a Chip: A Case Study with Qualcomm Snapdragon SoC. HPEC 2021: 1-7 - [c164]Jungwon Kim
, Seyong Lee, Beau Johnston, Jeffrey S. Vetter:
IRIS: A Portable Runtime System Exploiting Multiple Heterogeneous Programming Systems. HPEC 2021: 1-8 - [c163]Zheming Jin, Jeffrey S. Vetter:
Evaluating the Performance of Integer Sum Reduction in SYCL on GPUs. ICPP Workshops 2021: 34:1-34:8 - [c162]Zheming Jin, Jeffrey S. Vetter:
Evaluating CUDA Portability with HIPCL and DPCT. IPDPS Workshops 2021: 371-376 - [c161]Zheming Jin, Jeffrey S. Vetter:
Evaluating the Performance of Integer Sum Reduction on an Intel GPU. IPDPS Workshops 2021: 652-655 - [c160]Narasinga Rao Miniskar
, Frank Liu, Jeffrey S. Vetter:
A Memory Efficient Lock-Free Circular Queue. ISCAS 2021: 1-5 - [c159]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 - [c158]Valentin Clement, Jeffrey S. Vetter:
Flacc: Towards OpenACC support for Fortran in the LLVM Ecosystem. LLVM-HPC@SC 2021: 12-19 - [c157]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 - [c156]Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony:
Comparing LLC-Memory Traffic between CPU and GPU Architectures. RSDHA@SC 2021: 8-16 - [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]