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Hal Finkel
Person information
- affiliation: Department of Energy, MA, USA
- affiliation (former): Argonne National Laboratory
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2020 – today
- 2022
- [j6]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. Concurr. Comput. Pract. Exp. 34(20) (2022) - [j5]Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert, Markus Eisenbach, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P. K. Yeung:
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109: 102856 (2022) - 2021
- [j4]Tomas Andrade, Llibert Salo, Josu C. Aurrekoetxea, Jamie Bamber, Katy Clough, Robin Croft, Eloy de Jong, Amelia Drew, Alejandro Duran, Pedro Ferreira, Pau Figueras, Hal Finkel, Tiago Frana, Bo-Xuan Ge, Chenxia Gu, Thomas Helfer, Juha Jäykkä, Cristian Joana, Markus Kunesch, Kacper Kornet, Eugene Lim, Francesco Muia, Zainab Nazari, Miren Radia, Justin Ripley, Paul Shellard, Ulrich Sperhake, Dina Traykova, Saran Tunyasuvunakool, Zipeng Wang, James Widdicombe, Kaze Wong:
GRChombo: An adaptable numerical relativity code for fundamental physics. J. Open Source Softw. 6(68): 3703 (2021) - [i16]Hal Finkel, Ignacio Laguna:
Report of the Workshop on Program Synthesis for Scientific Computing. CoRR abs/2102.01687 (2021) - [i15]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). CoRR abs/2104.13242 (2021) - 2020
- [c54]Zheming Jin, Vitali A. Morozov, Hal Finkel:
A Case Study on the HACCmk Routine in SYCL on Integrated Graphics. IPDPS Workshops 2020: 368-374 - [c53]Zheming Jin, Hal Finkel:
Population Count on Intel® CPU, GPU and FPGA. IPDPS Workshops 2020: 432-439 - [c52]Zheming Jin, Hal Finkel:
Analyzing Deep Learning Model Inferences for Image Classification using OpenVINO. IPDPS Workshops 2020: 908-911 - [c51]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. PMBS@SC 2020: 61-70 - [c50]Zheming Jin, Hal Finkel:
Performance Evaluation of the Vectorizable Binary Search Algorithms on an FPGA Platform. IA3@SC 2020: 63-67 - [i14]Thien Nguyen, Anthony Santana, Tyler Kharazi, Daniel Claudino, Hal Finkel, Alexander J. McCaskey:
Extending C++ for Heterogeneous Quantum-Classical Computing. CoRR abs/2010.03935 (2020) - [i13]Michael Kruse, Hal Finkel, Xingfu Wu:
Autotuning Search Space for Loop Transformations. CoRR abs/2010.06521 (2020) - [i12]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. CoRR abs/2010.08040 (2020) - [i11]Hal Finkel, Alexander J. McCaskey, Tobi Popoola, Dmitry I. Lyakh, Johannes Doerfert:
Really Embedding Domain-Specific Languages into C++. CoRR abs/2010.08439 (2020)
2010 – 2019
- 2019
- [c49]Zheming Jin, Hal Finkel:
Evaluating LULESH Kernels on OpenCL FPGA. ARC 2019: 199-213 - [c48]Zheming Jin, Hal Finkel:
Base64 Encoding on Heterogeneous Computing Platforms. ASAP 2019: 247-254 - [c47]Zheming Jin, Hal Finkel:
Simulation of Random Network of Hodgkin and Huxley Neurons with Exponential Synaptic Conductances on an FPGA Platform. BCB 2019: 653-657 - [c46]Zheming Jin, Hal Finkel:
Evaluation of Medical Imaging Applications using SYCL. BIBM 2019: 2259-2264 - [c45]Zheming Jin, Hal Finkel:
Exploration of OpenCL 2D Convolution Kernels on Intel FPGA, CPU, and GPU Platforms. IEEE BigData 2019: 4460-4465 - [c44]Zheming Jin, Hal Finkel:
A Case Study of k-means Clustering using SYCL. IEEE BigData 2019: 4466-4471 - [c43]Zheming Jin, Hal Finkel:
Accelerating Hyperdimensional Classifier on Multiple GPUs. CLUSTER 2019: 1-2 - [c42]Zheming Jin, Hal Finkel:
Exploring the Random Network of Hodgkin and Huxley Neurons with Exponential Synaptic Conductances on OpenCL FPGA Platform. FCCM 2019: 316 - [c41]Zheming Jin, Hal Finkel:
OpenCL Kernel Vectorization on the CPU, GPU, and FPGA: A Case Study with Frequent Pattern Compression. FCCM 2019: 330 - [c40]Zheming Jin, Hal Finkel:
Base64 Encoding on OpenCL FPGA Platform. FPGA 2019: 116 - [c39]Zheming Jin, Hal Finkel:
Nuclear Reactor Simulations on OpenCL FPGA Platform. FPGA 2019: 304 - [c38]Zheming Jin, Paulius Velesko, Hal Finkel:
Performance of Floating-point Intensive Kernels on Low-power Processor - A Case Study with Geodesic Distance Kernel. IGSC 2019: 1-6 - [c37]Zheming Jin, Hal Finkel:
Exploring Integer Sum Reduction using Atomics on Intel CPU. IWOCL 2019: 2:1-2:6 - [c36]Michael Kruse, Hal Finkel:
Design and Use of Loop-Transformation Pragmas. IWOMP 2019: 125-139 - [c35]Johannes Doerfert, Jose Manuel Monsalve Diaz, Hal Finkel:
The TRegion Interface and Compiler Optimizations for OpenMP Target Regions. IWOMP 2019: 153-167 - [c34]Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Full-state quantum circuit simulation by using data compression. SC 2019: 80:1-80:24 - [c33]Hal Finkel, David Poliakoff, Jean-Sylvain Camier, David F. Richards:
ClangJIT: Enhancing C++ with Just-in-Time Compilation. P3HPC@SC 2019: 82-95 - [c32]Johannes Doerfert, Brian Homerding, Hal Finkel:
Performance Exploration Through Optimistic Static Program Annotations. ISC 2019: 247-268 - [i10]Hal Finkel, David Poliakoff, David F. Richards:
ClangJIT: Enhancing C++ with Just-in-Time Compilation. CoRR abs/1904.08555 (2019) - [i9]Michael Kruse, Hal Finkel:
Design and Use of Loop-Transformation Pragmas. CoRR abs/1910.02375 (2019) - 2018
- [c31]Zheming Jin, Hal Finkel:
Optimizing Radial Basis Function Kernel on OpenCL FPGA Platform. IEEE BigData 2018: 4730-4735 - [c30]Zheming Jin, Hal Finkel:
Bob Jenkins Lookup3 Hash Function on OpenCL FPGA Platform. IEEE BigData 2018: 4736-4741 - [c29]Zheming Jin, Hal Finkel:
Evaluation of OpenCL Performance-oriented Optimizations for Streaming Kernels on the FPGA: (Abstract Only). FPGA 2018: 287 - [c28]Zheming Jin, Hal Finkel:
A Case Study of Complementary-multiply-with-carry Method on OpenCL FPGA. IGSC 2018: 1-6 - [c27]Zheming Jin, Hal Finkel:
Evaluating Radial Basis Function Kernel on OpenCL FPGA Platform. IGSC 2018: 1-6 - [c26]Zheming Jin, Hal Finkel:
A Case Study of Integer Sum Reduction using Atomics. HEART 2018: 15:1-15:7 - [c25]Zheming Jin, Hal Finkel:
Evaluating an OpenCL FPGA Platform for HPC: a Case Study with the HACCmk Kernel. HPEC 2018: 1-6 - [c24]Zheming Jin, Hal Finkel:
Optimizing Parallel Reduction on OpenCL FPGA Platform - A Case Study of Frequent Pattern Compression. IPDPS Workshops 2018: 27-35 - [c23]Zheming Jin, Hal Finkel:
Optimizing an Atomics-Based Reduction Kernel on OpenCL FPGA Platform. IPDPS Workshops 2018: 532-539 - [c22]Zheming Jin, Hal Finkel:
Power and Performance Tradeoff of a Floating-Point Intensive Kernel on OpenCL FPGA Platform. IPDPS Workshops 2018: 716-720 - [c21]Zheming Jin, Hal Finkel:
Evaluation of MD5Hash Kernel on OpenCL FPGA Platform. IPDPS Workshops 2018: 1026-1032 - [c20]Zheming Jin, Hal Finkel:
Performance-oriented Optimizations for OpenCL Streaming Kernels on the FPGA. IWOCL 2018: 1:1-1:8 - [c19]Zheming Jin, Hal Finkel:
Nuclear Reactor Simulation on OpenCL FPGA: a Case Study of RSBench. IWOCL 2018: 2:1-2:9 - [c18]Michael Wong, Hal Finkel:
Distributed & Heterogeneous Programming in C++ for HPC at SC17. IWOCL 2018: 20:1-20:7 - [c17]Michael Kruse, Hal Finkel:
A Proposal for Loop-Transformation Pragmas. IWOMP 2018: 37-52 - [c16]Lingda Li, Hal Finkel, Martin Kong, Barbara M. Chapman:
Manage OpenMP GPU Data Environment Under Unified Address Space. IWOMP 2018: 69-81 - [c15]Johannes Doerfert, Hal Finkel:
Compiler Optimizations for OpenMP. IWOMP 2018: 113-127 - [c14]Johannes Doerfert, Hal Finkel:
Compiler Optimizations for Parallel Programs. LCPC 2018: 112-119 - [c13]Zheming Jin, Iris Johnson, Hal Finkel:
Evaluating and Optimizing OpenCL Base64 Data Unpacking Kernel with FPGA. PDP 2018: 273-277 - [c12]Zheming Jin, Hal Finkel:
Evaluating Floating-point Intensive Applications on OpenCL FPGA Platforms: A Case Study on the SimpleMOC Kernel. ReConFig 2018: 1-6 - [i8]Michael Kruse, Hal Finkel:
A Proposal for Loop-Transformation Pragmas. CoRR abs/1805.03374 (2018) - [i7]Michael Kruse, Hal Finkel:
User-Directed Loop-Transformations in Clang. CoRR abs/1811.00624 (2018) - [i6]Michael Kruse, Hal Finkel:
Loop Optimization Framework. CoRR abs/1811.00632 (2018) - [i5]Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. CoRR abs/1811.05140 (2018) - [i4]Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. CoRR abs/1811.05630 (2018) - 2017
- [j3]Salman Habib, Vitali A. Morozov, Nicholas Frontiere, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Venkatram Vishwanath, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Zarija Lukic:
HACC: extreme scaling and performance across diverse architectures. Commun. ACM 60(1): 97-104 (2017) - [j2]Didem Unat, Anshu Dubey, Torsten Hoefler, John Shalf, Mark James Abraham, Mauro Bianco, Bradford L. Chamberlain, Romain Cledat, H. Carter Edwards, Hal Finkel, Karl Fuerlinger, Frank Hannig, Emmanuel Jeannot, Amir Kamil, Jeff Keasler, Paul H. J. Kelly, Vitus J. Leung, Hatem Ltaief, Naoya Maruyama, Chris J. Newburn, Miquel Pericàs:
Trends in Data Locality Abstractions for HPC Systems. IEEE Trans. Parallel Distributed Syst. 28(10): 3007-3020 (2017) - [c11]Zheming Jin, Hal Finkel, Kazutomo Yoshii, Franck Cappello:
Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. Euro-Par Workshops 2017: 664-675 - [c10]Yingyi Luo, Xianshan Wen, Kazutomo Yoshii, Seda Ogrenci Memik, Gokhan Memik, Hal Finkel, Franck Cappello:
Evaluating irregular memory access on OpenCL FPGA platforms: A case study with XSBench. FPL 2017: 1-4 - [c9]Alok Mishra, Lingda Li, Martin Kong, Hal Finkel, Barbara M. Chapman:
Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading. LLVM-HPC@SC 2017: 6:1-6:10 - 2016
- [i3]Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna V. Palem, Kazutomo Yoshii, Hal Finkel:
Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. CoRR abs/1610.02606 (2016) - 2015
- [c8]Arnamoy Bhattacharyya, José Nelson Amaral, Hal Finkel:
Data-dependence profiling to enable safe thread level speculation. CASCON 2015: 91-100 - [c7]Thomas R. W. Scogland, Jeff Keasler, John C. Gyllenhaal, Rich Hornung, Bronis R. de Supinski, Hal Finkel:
Supporting Indirect Data Mapping in OpenMP. IWOMP 2015: 260-272 - [c6]Thomas L. Clune, Hal Finkel, Michael Rilee:
Testing and debugging exascale applications by mocking MPI. SE-HPCCSE@SC 2015: 5-8 - [c5]Christopher M. Sewell, Katrin Heitmann, Hal Finkel, George Zagaris, Suzanne Parete-Koon, Patricia K. Fasel, Adrian Pope, Nicholas Frontiere, Li-Ta Lo, O. E. Bronson Messer, Salman Habib, James P. Ahrens:
Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach. SC 2015: 50:1-50:11 - [e2]Hal Finkel:
Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC, LLVM 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4005-2 [contents] - [i2]Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin, Brian Yanny, Paolo Calafiura, Eli Dart, Oliver Gutsche, Taku Izubuchi, Adam Lyon, Don Petravick:
High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). CoRR abs/1510.08545 (2015) - 2014
- [j1]Katrin Heitmann, Salman Habib, Hal Finkel, Nicholas Frontiere, Adrian Pope, Vitali A. Morozov, Steve Rangel, Eve Kovacs, Juliana Kwan, Nan Li, Silvio Rizzi, Joseph A. Insley, Venkatram Vishwanath, Tom Peterka, David Daniel, Patricia K. Fasel, George Zagaris:
Large-Scale Simulations of Sky Surveys. Comput. Sci. Eng. 16(5): 14-23 (2014) - [c4]Huy Bui, Hal Finkel, Venkatram Vishwanath, Salman Habib, Katrin Heitmann, Jason Leigh, Michael E. Papka, Kevin Harms:
Scalable Parallel I/O on a Blue Gene/Q Supercomputer Using Compression, Topology-Aware Data Aggregation, and Subfiling. PDP 2014: 107-111 - [e1]Hal Finkel, Jeff R. Hammond:
Proceedings of the 2014 LLVM Compiler Infrastructure in HPC, LLVM 2014, New Orleans, LA, USA, November 17, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-7023-0 [contents] - 2013
- [c3]Salman Habib, Vitali A. Morozov, Nicholas Frontiere, Hal Finkel, Adrian Pope, Katrin Heitmann:
HACC: extreme scaling and performance across diverse architectures. SC 2013: 6:1-6:10 - 2012
- [c2]Salman Habib, Vitali A. Morozov, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Nicholas Frontiere, Zarija Lukic:
The universe at extreme scale: multi-petaflop sky simulation on the BG/Q. SC 2012: 4 - [c1]Tom Peterka, Juliana Kwan, Adrian Pope, Hal Finkel, Katrin Heitmann, Salman Habib, Jingyuan Wang, George Zagaris:
Meshing the Universe: Integrating Analysis in Cosmological Simulations. SC Companion 2012: 186-195 - [i1]Salman Habib, Vitali A. Morozov, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Nicholas Frontiere, Zarija Lukic:
The Universe at Extreme Scale: Multi-Petaflop Sky Simulation on the BG/Q. CoRR abs/1211.4864 (2012)
Coauthor Index
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