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A Language and Hardware Independent Approach to Quantum–Classical Computing.
Alexander J. McCaskey, Eugene F. Dumitrescu, Dmitry Liakh, Mengsu Chen, Wu-chun Feng, Travis S. Humble.
In SoftwareX, 7 245--254, August 2018.
Preprint Citations: [ BibTeX XML PlainText ] -
muBLASTP: Database-Indexed Protein Sequence Search on Multicore CPUs.
Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng.
In BMC Bioinformatics, 17 (1): 443, November 2016.
Preprint Citations: [ BibTeX XML PlainText ] -
Characterizing the Challenges and Evaluating the Efficacy of a CUDA-to-OpenCL Translator.
Mark Gardner, Paul Sathre, Wu-chun Feng, Gabriel Martinez.
In Parallel Computing, 39 (12): 769-786, December 2013.
Preprint Citations: [ BibTeX XML PlainText ] -
Accelerating Electrostatic Surface Potential Calculation with Multi-Scale Approximation on Graphics Processing Units.
Ramu Anandakrishnan, Thomas R.W. Scogland, Andrew T. Fenley, John C. Gordon, Wu-chun Feng, Alexey V. Onufriev.
In Journal of Molecular Graphics and Modelling, 28 904-910, April 2010.
Preprint Citations: [ BibTeX XML PlainText ] -
Exact Distributed Stochastic Block Partitioning.
Frank Wanye, Vitaliy Gleyzer, Edward Kao, Wu-chun Feng.
In Proceedings of the 2023 IEEE International Conference on Cluster Computing (CLUSTER), Santa Fe, NM, USA, November 2023.
Paper Citations: [ BibTeX XML PlainText ] -
An Integrated Approach for Accelerating Stochastic Block Partitioning.
Frank Wanye, Vitaliy Gleyzer, Edward Kao, Wu-chun Feng.
In Proceedings of the 2023 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2023.
Graph Challenge Champion Award.
Paper Citations: [ BibTeX XML PlainText ] -
On the Three P’s of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability.
Atharva Gondhalekar, Wu-chun Feng.
In Proceedings of the 2023 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2023.
Outstanding Student Paper Award.
Paper Citations: [ BibTeX XML PlainText ] -
Edge-Connected Jaccard Similarity for Graph Link Prediction on FPGA.
Paul Sathre, Atharva Gondhalekar, Wu-chun Feng.
In Proceedings of the 2022 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2022.
Paper Citations: [ BibTeX XML PlainText ] -
On the Characterization of the Performance-Productivity Gap for FPGA.
Atharva Gondhalekar, Thomas Twomey, Wu-chun Feng.
In Proceedings of the 2022 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2022.
Paper Citations: [ BibTeX XML PlainText ] -
Applying the Midas Touch of Reproducibility to High-Performance Computing.
Austin Chase Minor, Wu-chun Feng.
In Proceedings of the 2022 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2022.
Paper Citations: [ BibTeX XML PlainText ] -
On the Parallelization of MCMC for Community Detection.
Frank Wanye, Vitaliy Gleyzer, Edward Kao, Wu-chun Feng.
In Proceedings of the 51st International Conference on Parallel Processing (ICPP), Bordeaux, France, August 2022.
Paper Citations: [ BibTeX XML PlainText ] -
Exploring FPGA Optimizations in OpenCL for Breadth-First Search on Sparse Graph Datasets.
Atharva Gondhalekar, Wu-chun Feng.
In Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, Gothenburg, Sweden, September 2020.
Paper Citations: [ BibTeX XML PlainText ] -
MetaCL: Automated 'Meta' OpenCL Code Generation for High-Level Synthesis on FPGA.
Paul Sathre, Atharva Gondhalekar, Mohamed Hassan, Wu-chun Feng.
In Proceedings of the IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2020.
Paper Citations: [ BibTeX XML PlainText ] -
Adaptive Task Aggregation for High-Performance Sparse Solvers on GPUs.
Ahmed E. Helal, Ashwin M. Aji, Michael L. Chu, Bradford M. Beckmann, Wu-chun Feng.
In Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, Seattle, WA, September 2019.
Paper Citations: [ BibTeX XML PlainText ] -
Fast Stochastic Block Partitioning via Sampling.
Frank Wanye, Vitaliy Gleyzer, Wu-chun Feng.
In Proceedings of the IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2019.
Student Innovation Award.
Paper Citations: [ BibTeX XML PlainText ] -
C to D-Wave: A High-level C Compilation Framework for Quantum Annealers.
Mohamed W. Hassan, Scott Pakin, Wu-chun Feng.
In Proceedings of the IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2019.
Innovative Paper Award.
Paper Citations: [ BibTeX XML PlainText ] -
On the Portability of GPU-Accelerated Applications via Automated Source-to-Source Translation.
Paul Sathre, Mark Gardner, Wu-chun Feng.
In Proceedings of the HPC Asia: International Conference on High Performance Computing in Asia-Pacific Region, Guangzhou, China, January 2019.
Paper Citations: [ BibTeX XML PlainText ] -
Exploring FPGA-specific Optimizations for Irregular OpenCL Applications.
Mohamed W. Hassan, Ahmed E. Helal, Peter M. Athanas, Wu-chun Feng, Yasser Y. Hanafy.
In Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig), Cancun, Mexico, December 2018.
Paper Citations: [ BibTeX XML PlainText ] -
A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation.
Paul Sathre, Ahmed E. Helal, Wu-chun Feng.
In Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig), Cancun, Mexico, December 2018.
Paper Citations: [ BibTeX XML PlainText ] -
A Framework for Auto-Parallelization and Code Generation: An Integrative Case Study with Legacy FORTRAN Codes.
Konstantinos Krommydas, Paul Sathre, Ruchira Sasanka, Wu-chun Feng.
In Proceedings of the 47th International Conference on Parallel Processing (ICPP), Eugene, OR, August 2018.
Paper Citations: [ BibTeX XML PlainText ] -
CommAnalyzer: Automated Estimation of Communication Cost and Scalability on HPC Clusters from Sequential Code.
Ahmed E. Helal, Changhee Jung, Wu-chun Feng, Yasser Y. Hanafy.
In Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2018), Tempe, Arizona, USA, June 2018.
Paper Citations: [ BibTeX XML PlainText ] -
Highly Efficient Compensation-based Parallelism for Wavefront Loops on GPUs.
Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, Seyong Lee.
In Proceedings of the 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, British Columbia, Canada, May 2018.
Paper Citations: [ BibTeX XML PlainText ] -
AutoMatch: An Automated Framework for Relative Performance Estimation and Workload Distribution on Heterogeneous HPC Systems.
Ahmed E. Helal, Wu-chun Feng, Changhee Jung, Yasser Y. Hanafy.
In Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), Seattle, WA, October 2017.
Paper Citations: [ BibTeX XML PlainText ] -
Developing Dynamic Profiling and Debugging Support in OpenCL for FPGAs.
Anshuman Verma, Huiyang Zhou, Skip Booth, Robbie King, James Coole, Andy Keep, John Marshall, Wu-chun Feng.
In Proceedings of the 54th Design Automation Conference (DAC), Austin, TX, June 2017.
Paper Citations: [ BibTeX XML PlainText ] -
Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs. (Poster Paper, see "Posters" section for poster).
Konstantinos Krommydas, Ahmed Helal, Anshuman Verma, Wu-chun Feng.
In Proceedings of the 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, Washington, DC, May 2016.
Paper Citations: [ BibTeX XML PlainText ] -
Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation.
Paul Sathre, Mark Gardner, Wu-chun Feng.
In Proceedings of the 5th International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2), Pittsburgh, PA, September 2012.
Paper Citations: [ BibTeX XML PlainText ] -
Automatic NUMA Characterization using Cbench.
Ryan Braithwaite, Wu-chun Feng, Patrick McCormick.
In Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE), Boston, MA, April 2012.
Paper Citations: [ BibTeX XML PlainText ] -
OpenCL and the 13 Dwarfs: A Work In Progress.
Wu-chun Feng, Heshan Lin, Thomas R. W. Scogland, Jing Zhang.
In Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE), Boston, MA, April 2012.
Paper Citations: [ BibTeX XML PlainText ] -
CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-Core Architectures.
Gabriel Martinez, Mark Gardner, Wu-chun Feng.
In Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, Tainan, Taiwan, December 2011.
Paper Citations: [ BibTeX XML PlainText ] -
Architecture-Aware Mapping and Optimization on a 1600-Core GPU.
Mayank Daga, Thomas R. W. Scogland, Wu-chun Feng.
In Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, Tainan, Taiwan, December 2011.
Paper Citations: [ BibTeX XML PlainText ] -
StreamMR: An Optimized MapReduce Framework for AMD GPUs.
Marwa Elteir, Heshan Lin, Wu-chun Feng, Thomas R. W. Scogland.
In Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, Tainan, Taiwan, December 2011.
Paper Citations: [ BibTeX XML PlainText ] -
Spectral Method Characterization on FPGA and GPU Accelerators.
Karl Pereira, Peter Athanas, Heshan Lin, Wu-chun Feng.
In Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig), Cancun, Mexico, November 2011.
Paper Citations: [ BibTeX XML PlainText ] -
Performance Characterization and Optimization of Atomic Operations on AMD GPUs.
Marwa Elteir, Heshan Lin, Wu-chun Feng.
In Proceedings of the IEEE Cluster 2011, Austin, TX, USA, September 2011.
Paper Citations: [ BibTeX XML PlainText ] -
On the Efficacy of a Fused CPU+GPU Processor for Parallel Computing.
Mayank Daga, Ashwin Aji, Wu-chun Feng.
In Proceedings of the Symposium on Application Accelerators in High-Performance Computing, Knoxville, Tennessee, USA, July 2011.
Paper Citations: [ BibTeX XML PlainText ] -
A First Look at Integrated GPUs for Green High-Performance Computing.
Thomas R. W. Scogland, Heshan Lin, Wu-chun Feng.
In Proceedings of the International Conference on Energy-Aware High Performance Computing, Hamburg, Germany, September 2010.
Paper Citations: [ BibTeX XML PlainText ] -
Hybrid CPU-GPU Implementation of Edge-Connected Jaccard Similarity in Graph Datasets.
Atharva Gondhalekar, Paul and Sathre, Wu-chun Feng.
In The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23), Denver, CO, USA, November 2023.
Poster Citations: [ BibTeX XML PlainText ] -
On the Multi-Dimensional Acceleration of Stochastic Blockmodeling for Community Detection.
Frank Wanye, Wu-chun Feng.
In 2023 IEEE International Conference on Cluster Computing (CLUSTER), Santa Fe, NM, USA, November 2023.
Poster Citations: [ BibTeX XML PlainText ] -
Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs.
Konstantinos Krommydas, Ahmed Helal, Anshuman Verma, Wu-chun Feng.
In 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, Washington, DC, May 2016.
Poster Citations: [ BibTeX XML PlainText ] -
Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing.
Ahmed Helal.
Virginia Tech, December 2019.
Paper Citations: [ BibTeX XML PlainText ] -
Exploring Performance Portability for Accelerators via High-level Parallel Patterns.
Kaixi Hou.
Virginia Tech, May 2018.
Paper Citations: [ BibTeX XML PlainText ] -
On the Complexity of Robust Source-to-Source Translation from CUDA to OpenCL.
Paul D. Sathre.
Virginia Tech, April 2013.
Paper Citations: [ BibTeX XML PlainText ] -
CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-Core Architectures.
Gabriel Martinez.
Virginia Tech, July 2011.
Paper Citations: [ BibTeX XML PlainText ]
