Jeffrey S. Vetter

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 146

Top Venues

Publications

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)
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)
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)
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)
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)
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 (2023)
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)
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)
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 (2023)
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)
Pedro Valero-Lara, Ian Jorquera, Frank Lui, Jeffrey S. Vetter
Mixed-Precision S/DGEMM Using the TF32 and TF64 Frameworks on Low-Precision AI Tensor Cores. SC Workshops (2023)
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) (2023)
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)
Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter
Arithmetic Primitives for Efficient Neuromorphic Computing. ICRC (2023)
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)
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)
Zheming Jin, Jeffrey S. Vetter
Understanding SYCL Portability for Pseudorandom Number Generation: a Case Study with Gene-Expression Connectivity Mapping. IPDPS Workshops (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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)
Pedro Valero-Lara, Jeffrey S. Vetter
A MultiGPU Performance-Portable Solution for Array Programming Based on Kokkos. ARRAY@PLDI (2023)
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)
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)
Zheming Jin, Jeffrey S. Vetter
Accelerating Hyperdimensional Classifier with SYCL. CLUSTER Workshops (2023)
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)
Zheming Jin, Jeffrey S. Vetter
Experience Deploying Graph Applications on GPUs with SYCL. ICPP Workshops (2023)
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)
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)
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)
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)
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)
Zheming Jin, Jeffrey S. Vetter
A Benchmark Suite for Improving Performance Portability of the SYCL Programming Model. ISPASS (2023)
Valentin Churavy, William F. Godoy, Carsten Bauer, Hendrik Ranocha, Michael Schlottke-Lakemper, Ludovic Räss, Johannes Blaschke, Mosè Giordano, Erik Schnetter, Samuel Omlin, Jeffrey S. Vetter, Alan Edelman
Bridging HPC Communities through the Julia Programming Language. CoRR (2022)
Zheming Jin, Jeffrey S. Vetter
Evaluating Nonuniform Reduction in HIP and SYCL on GPUs. DRBSD@SC (2022)
Zheming Jin, Jeffrey S. Vetter
Evaluating Unified Memory Performance in HIP. IPDPS Workshops (2022)
Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter
Design and analysis of CXL performance models for tightly-coupled heterogeneous computing. ExHET@PPOPP (2022)
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 (2022)
Zheming Jin, Jeffrey S. Vetter
Performance portability study of epistasis detection using SYCL on NVIDIA GPU. BCB (2022)
Pedro Valero-Lara, Jungwon Kim, Jeffrey S. Vetter
A Portable and Heterogeneous LU Factorization on IRIS. Euro-Par Workshops (2022)
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)
Zheming Jin, Jeffrey S. Vetter
Integer Sum Reduction with OpenMP on an AMD MI100 GPU. IPDPS Workshops (2022)
Zheming Jin, Jeffrey S. Vetter
A Study on Atomics-based Integer Sum Reduction in HIP on AMD GPU. ICPP Workshops (2022)
Pedro Valero-Lara, Seyong Lee, Marc González Tallada, Joel E. Denny, Jeffrey S. Vetter
KokkACC: Enhancing Kokkos with OpenACC. WACCPD@SC (2022)
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)
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) (2022)
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)
Kazi Asifuzzaman, Mohammad Alaul Haque Monil, Frank Liu, Jeffrey S. Vetter
Evaluating HPC Kernels for Processing in Memory. MEMSYS (2022)
Pedro Valero-Lara, Cameron Greenwalt, Jeffrey S. Vetter
SparseLU, A Novel Algorithm and Math Library for Sparse LU Factorization. IA3@SC (2022)
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)
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)
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 (2022)
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)
Zheming Jin, Jeffrey S. Vetter
Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU. BIBM (2022)
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)
Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frankie Y. Liu, Jeffrey S. Vetter
IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC (2022)
Yuanchao Xu, Mehmet Esat Belviranli, Xipeng Shen, Jeffrey S. Vetter
PCCS: Processor-Centric Contention-aware Slowdown Model for Heterogeneous System-on-Chips. MICRO (2021)
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 (2021)
Zheming Jin, Jeffrey S. Vetter
Evaluating the Performance of Integer Sum Reduction on an Intel GPU. IPDPS Workshops (2021)
Valentin Clement, Jeffrey S. Vetter
Flacc: Towards OpenACC support for Fortran in the LLVM Ecosystem. LLVM-HPC@SC (2021)
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) (2021)
Zheming Jin, Jeffrey S. Vetter
Evaluating CUDA Portability with HIPCL and DPCT. IPDPS Workshops (2021)
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)
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. (2021)
Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter
A Hierarchical Task Scheduler for Heterogeneous Computing. ISC (2021)
Zheming Jin, Jeffrey S. Vetter
Evaluating the Performance of Integer Sum Reduction in SYCL on GPUs. ICPP Workshops (2021)
Jungwon Kim, Seyong Lee, Beau Johnston, Jeffrey S. Vetter
IRIS: A Portable Runtime System Exploiting Multiple Heterogeneous Programming Systems. HPEC (2021)
Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony
Comparing LLC-Memory Traffic between CPU and GPU Architectures. RSDHA@SC (2021)
Pedro Valero-Lara, Jungwon Kim, Oscar Hernandez, Jeffrey S. Vetter
OpenMP Target Task: Tasking and Target Offloading on Heterogeneous Systems. Euro-Par Workshops (2021)
Narasinga Rao Miniskar, Frank Liu, Jeffrey S. Vetter
A Memory Efficient Lock-Free Circular Queue. ISCAS (2021)
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)
Frank Liu, Narasinga Rao Miniskar, Dwaipayan Chakraborty, Jeffrey S. Vetter
Deffe: a data-efficient framework for performance characterization in domain-specific computing. CF (2020)
Blaise Tine, Seyong Lee, Jeffrey S. Vetter, Hyesoon Kim
Productive Hardware Designs using Hybrid HLS-RTL Development. FPGA (2020)
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)
Blaise Tine, Fares Elsabbagh, Seyong Lee, Jeffrey S. Vetter, Hyesoon Kim
Cash: A Single-Source Hardware-Software Codesign Framework for Rapid Prototyping. FPGA (2020)
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)
Beau Johnston, Jeffrey S. Vetter, Josh Milthorpe
Evaluating the Performance and Portability of Contemporary SYCL Implementations. P3HPC@SC (2020)
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)
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)
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)
Jacob Lambert, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony
CCAMP: an integrated translation and optimization framework for OpenACC and OpenMP. SC (2020)
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)
Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter
TensorFlow Doing HPC. CoRR (2019)
Jacob Lambert, Seyong Lee, Allen D. Malony, Jeffrey S. Vetter
CCAMP: OpenMP and OpenACC Interoperable Framework. Euro-Par Workshops (2019)
Blaise-Pascal Tine, Sudhakar Yalamanchili, Hyesoon Kim, Jeffrey S. Vetter
POSTER: Tango: An Optimizing Compiler for Just-In-Time RTL Simulation. PACT (2019)
Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. IPDPS (2019)
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)
Forrest Shriver, Seyong Lee, Steven Hamilton, Jeffrey S. Vetter, Justin Watson
Enhancing Monte Carlo proxy applications on GPUs. PMBS@SC (2019)
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 (2019)
Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter
TensorFlow Doing HPC. IPDPS Workshops (2019)
Ivy Bo Peng, Jeffrey S. Vetter
Siena: exploring the design space of heterogeneous memory systems. SC (2018)
Pak Markthub, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, Satoshi Matsuoka
DRAGON: breaking GPU memory capacity limits with direct NVM access. SC (2018)
Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter
NVIDIA Tensor Core Programmability, Performance & Precision. IPDPS Workshops (2018)
Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, Jeffrey S. Vetter
NVIDIA Tensor Core Programmability, Performance & Precision. CoRR (2018)
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)
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) (2018)
Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. CoRR (2018)
Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, Laxmi N. Bhuyan
Juggler: a dependence-aware task-based execution framework for GPUs. PPOPP (2018)
Gregory Herschlag, Seyong Lee, Jeffrey S. Vetter, Amanda Randles
GPU Data Access on Complex Geometries for D3Q19 Lattice Boltzmann Method. IPDPS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jeffrey S. Vetter