| Opendwarfs: Characterization of dwarf-based benchmarks on fixed and reconfigurable architectures K Krommydas, W Feng, CD Antonopoulos, N Bellas Journal of Signal Processing Systems 85, 373-392, 2016 | 48 | 2016 |
| On the characterization of opencl dwarfs on fixed and reconfigurable platforms K Krommydas, W Feng, M Owaida, CD Antonopoulos, N Bellas 2014 IEEE 25th International Conference on Application-Specific Systems …, 2014 | 28 | 2014 |
| Accelerating workloads on fpgas via opencl: A case study with opendwarfs A Verma, AE Helal, K Krommydas, WC Feng Computer Science Technical Reports, 2016 | 22 | 2016 |
| Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs K Krommydas, AE Helal, A Verma, WC Feng Field-Programmable Custom Computing Machines (FCCM), 2016 IEEE 24th Annual …, 2016 | 21 | 2016 |
| On the programmability and performance of heterogeneous platforms K Krommydas, TRW Scogland, W Feng 2013 International Conference on Parallel and Distributed Systems, 224-231, 2013 | 20 | 2013 |
| Bridging the FPGA programmability-portability Gap via automatic OpenCL code generation and tuning K Krommydas, R Sasanka, W Feng 2016 IEEE 27th International Conference on Application-specific Systems …, 2016 | 19 | 2016 |
| On the portability of the OpenCL dwarfs on fixed and reconfigurable parallel platforms K Krommydas, M Owaida, CD Antonopoulos, N Bellas, W Feng 2013 International Conference on Parallel and Distributed Systems, 432-433, 2013 | 7 | 2013 |
| GLAF: a visual programming and auto-tuning framework for parallel computing K Krommydas, R Sasanka, W Feng 2015 44th International Conference on Parallel Processing, 859-868, 2015 | 6 | 2015 |
| On the performance, energy, and power of data-access methods in heterogeneous computing systems R Kalidas, M Daga, K Krommydas, W Feng 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 4 | 2015 |
| An evolutionary framework for automatic and guided discovery of algorithms R Sasanka, K Krommydas Proceedings of the 17th ACM International Conference on Computing Frontiers …, 2020 | 3 | 2020 |
| Mapping and optimization of the AVS video decoder on a high performance chip multiprocessor K Krommydas, G Tsoublekas, CD Antonopoulos, N Bellas 2010 IEEE International Conference on Multimedia and Expo, 896-901, 2010 | 3 | 2010 |
| A framework for auto-parallelization and code generation: an integrative case study with legacy FORTRAN codes K Krommydas, P Sathre, R Sasanka, W Feng Proceedings of the 47th International Conference on Parallel Processing, 1-10, 2018 | 2 | 2018 |
| Telescoping Architectures: Evaluating Next-Generation Heterogeneous Computing K Krommydas, W Feng 2016 IEEE 23rd International Conference on High Performance Computing (HiPC …, 2016 | 2 | 2016 |
| Implementation and Performance Comparison of the Motion Compensation Kernel of the AVS Video Decoder on FPGA, GPU and Multicore Processors M Owaida, N Bellas, CD Antonopoulos, K Daloukas, C Antoniadis, ... 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom …, 2011 | 2 | 2011 |
| Towards enhancing performance, programmability, and portability in heterogeneous computing K Krommydas Virginia Tech, 2017 | 1 | 2017 |
| AVS video decoder on multicore systems: Optimizations and tradeoffs K Krommydas, CD Antonopoulos, N Bellas, W Feng 2011 IEEE International Conference on Multimedia and Expo, 1-4, 2011 | 1 | 2011 |
| Apparatuses, methods, and systems for instructions for aligning tiles of a matrix operations accelerator E Ould-Ahmed-Vall, J Huh, K Krommydas, MF Amin US Patent App. 17/134,136, 2022 | | 2022 |
| Post-compile cache blocking analyzer R Sasanka, K Raman, K Krommydas US Patent 10,684,833, 2020 | | 2020 |
| Telescoping Architectures: A Methodology for Evaluating Next-Generation Heterogeneous Computing K Krommydas, W Feng Computer Science Technical Reports, 2016 | | 2016 |
| OpenDwarfs: On the Characterization of Computation and Communication Patterns on Fixed and Reconfigurable Architectures K Krommydas, W Feng, CD Antonopoulos, N Bellas | | |
Wu FengProfessor of Computer Science, Virginia TechVerified email at vt.edu
