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ORCIDJeffrey S. Vetter
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2020 – today
- 2024
[j60]William F. Godoy
, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Large language model evaluation for high-performance computing software development. Concurr. Comput. Pract. Exp. 36(26) (2024)- [c216]Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku:
CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems. e-Science 2024: 1-10 - [c215]Pedro Valero-Lara, Seyong Lee, Joel E. Denny, Keita Teranishi, Jeffrey S. Vetter, Marc González Tallada:
sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC. HPC Asia 2024: 23-34 - [c214]Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter:
IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies. IPDPS (Workshops) 2024: 58-67 - [c213]Marc González Tallada, Joel E. Denny, Pedro Valero-Lara, Seyong Lee, Keita Teranishi, Jeffrey S. Vetter:
eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages. IPDPS (Workshops) 2024: 667-677 - [c212]Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter:
IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. WAMTA 2024: 46-58 - [c211]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Valero-Lara, Keita Teranishi, Jeffrey S. Vetter:
MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky). WAMTA 2024: 59-70 - 2023
- [j59]Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar:
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 37(3-4): 351-379 (2023) - [c210]Zheming Jin, Jeffrey S. Vetter:
Accelerating Hyperdimensional Classifier with SYCL. CLUSTER Workshops 2023: i-ii - [c209]Zheming Jin, Jeffrey S. Vetter:
Understanding Portability of Automotive Workload: A Case Study with the Points-to-Image Kernel in SYCL on Heterogeneous Computing Platforms. GPGPU@PPoPP 2023: 14-20 - [c208]Anthony M. Cabrera, Yigit A. Yucesan, Frank Y. Liu, Willem Blokland, Jeffrey S. Vetter:
Errant Beam Detection Using the AMD Versal ACAP and Vitis AI. HPEC 2023: 1-6 - [c207]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Y. Liu, Jeffrey S. Vetter:
IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing. HPEC 2023: 1-7 - [c206]Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean:
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS 2023: 3:1-3:8 - [c205]Zheming Jin, Jeffrey S. Vetter:
Experience Deploying Graph Applications on GPUs with SYCL. ICPP Workshops 2023: 30-39 - [c204]William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. ICPP Workshops 2023: 136-144 - [c203]Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter:
Arithmetic Primitives for Efficient Neuromorphic Computing. ICRC 2023: 1-5 - [c202]Zheming Jin, Jeffrey S. Vetter:
Understanding SYCL Portability for Pseudorandom Number Generation: a Case Study with Gene-Expression Connectivity Mapping. IPDPS Workshops 2023: 295-298 - [c201]Zheming Jin, Jeffrey S. Vetter:
Understanding Performance Portability of SYCL Kernels: A Case Study with the All-Pairs Distance Calculation in Bioinformatics on GPUs. IPDPS Workshops 2023: 366-372 - [c200]William F. Godoy, Pedro Valero-Lara, T. Elise Dettling, Christian Trefftz, Ian Jorquera, Thomas Sheehy, Ross G. Miller, Marc González Tallada, Jeffrey S. Vetter, Valentin Churavy:
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. IPDPS Workshops 2023: 373-382 - [c199]Narasinga Rao Miniskar, Pruek Vanna-Iampikul, Aaron R. Young, Sung Kyu Lim, Frank Liu, Jieun Yoo, Corrinne Mills, Nhan Tran, Farah Fahim, Jeffrey S. Vetter:
A 3D Implementation of Convolutional Neural Network for Fast Inference. ISCAS 2023: 1-5 - [c198]Zheming Jin, Jeffrey S. Vetter:
A Benchmark Suite for Improving Performance Portability of the SYCL Programming Model. ISPASS 2023: 325-327 - [c197]Pedro Valero-Lara, Jeffrey S. Vetter:
A MultiGPU Performance-Portable Solution for Array Programming Based on Kokkos. ARRAY@PLDI 2023: 1-12 - [c196]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter:
Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms. ExHET@PPoPP 2023: 1:1-1:6 - [c195]Pedro Valero-Lara, Ian Jorquera, Frank Liu, Jeffrey S. Vetter:
Mixed-Precision S/DGEMM Using the TF32 and TF64 Frameworks on Low-Precision AI Tensor Cores. SC Workshops 2023: 177-186 - [c194]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara:
MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. SC Workshops 2023: 1081-1092 - [c193]Aristotle X. Martin, Geng Liu, William Ladd, Seyong Lee, John Gounley, Jeffrey S. Vetter, Saumil Patel, Silvio Rizzi, Victor A. Mateevitsi, Joseph A. Insley, Amanda Randles:
Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations. SC Workshops 2023: 1126-1137 - [c192]Sanil Rao, Mohammad Alaul Haque Monil, Het Mankad, Jeffrey S. Vetter, Franz Franchetti:
FFTX-IRIS: Towards Performance Portability and Heterogeneity for SPIRAL Generated Code. SC Workshops 2023: 1635-1641 - [c191]Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey S. Vetter:
CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. SC Workshops 2023: 1651-1661 - [c190]Pedro Valero-Lara, Jeffrey S. Vetter, John Gounley, Amanda Randles:
Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. SC Workshops 2023: 1697-1704 - [c189]William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter:
Julia as a unifying end-to-end workflow language on the Frontier exascale system. SC Workshops 2023: 1989-1999 - [c188]Zheming Jin, Jeffrey S. Vetter:
Experience Migrating OpenCL to SYCL: A Case Study on Searches for Potential Off-Target Sites of Cas9 RNA-Guided Endonucleases on AMD GPUs. SOCC 2023: 1-6 - [c187]Taisuke Boku, Ryuta Tsunashima, Ryohei Kobayashi, Norihisa Fujita, Seyong Lee, Jeffrey S. Vetter, Hitoshi Murai, Masahiro Nakao, Miwako Tsuji, Mitsuhisa Sato:
OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGA. ISC Workshops 2023: 662-674 - [i13]William F. Godoy, Pedro Valero-Lara, T. Elise Dettling, Christian Trefftz, Ian Jorquera, Thomas Sheehy, Ross G. Miller, Marc González Tallada, Jeffrey S. Vetter, Valentin Churavy:
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. CoRR abs/2303.06195 (2023) - [i12]William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. CoRR abs/2306.15121 (2023) - [i11]Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean:
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR abs/2307.11242 (2023) - [i10]Pedro Valero-Lara, Alexis Huante, Mustafa Al-Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation. CoRR abs/2309.07103 (2023) - [i9]William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter:
Julia as a unifying end-to-end workflow language on the Frontier exascale system. CoRR abs/2309.10292 (2023) - 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) - [c186]Zheming Jin, Jeffrey S. Vetter:
Performance portability study of epistasis detection using SYCL on NVIDIA GPU. BCB 2022: 69:1-69:8 - [c185]Zheming Jin, Jeffrey S. Vetter:
Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU. BIBM 2022: 2190-2195 - [c184]Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeff Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamín Hernández, Seyong Lee, Shirley V. Moore, Jeffrey S. Vetter, Amanda Randles:
High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. CLUSTER 2022: 230-242 - [c183]Pedro Valero-Lara, Jungwon Kim, Jeffrey S. Vetter:
A Portable and Heterogeneous LU Factorization on IRIS. Euro-Par Workshops 2022: 17-31 - [c182]Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter:
Ultra Low Latency Machine Learning for Scientific Edge Applications. FPL 2022: 1-7 - [c181]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter:
IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC 2022: 256-261 - [c180]Zheming Jin, Jeffrey S. Vetter:
A Study on Atomics-based Integer Sum Reduction in HIP on AMD GPU. ICPP Workshops 2022: 6:1-6:10 - [c179]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC 2022: 100-105 - [c178]Zheming Jin, Jeffrey S. Vetter:
Integer Sum Reduction with OpenMP on an AMD MI100 GPU. IPDPS Workshops 2022: 496-499 - [c177]Zheming Jin, Jeffrey S. Vetter:
Evaluating Unified Memory Performance in HIP. IPDPS Workshops 2022: 562-568 - [c176]Kazi Asifuzzaman, Mohammad Alaul Haque Monil, Frank Liu, Jeffrey S. Vetter:
Evaluating HPC Kernels for Processing in Memory. MEMSYS 2022: 1:1-1:6 - [c175]Jacob Lambert, Mohammad Alaul Haque Monil, Seyong Lee, Allen D. Malony, Jeffrey S. Vetter:
Leveraging Compiler-Based Translation to Evaluate a Diversity of Exascale Platforms. P3HPC@SC 2022: 14-25 - [c174]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 - [c173]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Frank Y. Liu, Jeffrey S. Vetter, Pedro Valero-Lara:
LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS. RSDHA@SC 2022: 12-21 - [c172]Pedro Valero-Lara, Cameron Greenwalt, Jeffrey S. Vetter:
SparseLU, A Novel Algorithm and Math Library for Sparse LU Factorization. IA3@SC 2022: 25-31 - [c171]Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter:
Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. SMC 2022: 227-243 - [c170]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 - [c169]Pedro Valero-Lara, Seyong Lee, Marc González Tallada, Joel E. Denny, Jeffrey S. Vetter:
KokkACC: Enhancing Kokkos with OpenACC. WACCPD@SC 2022: 32-42 - [c168]Zheming Jin, Jeffrey S. Vetter:
Evaluating Nonuniform Reduction in HIP and SYCL on GPUs. DRBSD@SC 2022: 37-43 - [i8]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) - [i7]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR abs/2208.07468 (2022) - [i6]Valentin Churavy, William F. Godoy, Carsten Bauer, Hendrik Ranocha, Michael Schlottke-Lakemper, Ludovic Räss, Johannes P. Blaschke, Mosè Giordano, Erik Schnetter, Samuel Omlin, Jeffrey S. Vetter, Alan Edelman:
Bridging HPC Communities through the Julia Programming Language. CoRR abs/2211.02740 (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 R. 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]