The Art of Molecular Dynamics Simulation
The Art of Molecular Dynamics Simulation
Design Tradeoffs for BLAS Operations on Reconfigurable Hardware
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
High Performance Linear Algebra Operations on Reconfigurable Systems
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Scalable Hybrid Designs for Linear Algebra on Reconfigurable Computing Systems
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
IEEE Transactions on Parallel and Distributed Systems
Accelerating scientific computing applications with reconfigurable hardware
Accelerating scientific computing applications with reconfigurable hardware
Proceedings of the 21st annual symposium on Integrated circuits and system design
| Hi-index | 0.00 |
The recent evolution of the programmable logic devices, such as FPGAs (Field Programmable Gate Array), associated with the growing demand for performance improvements in scientific computing applications, has attracted the attention of supercomputers vendors. They have been developing hybrid platforms that links general-purpose processors with co-processors based on FPGAs, aiming computing acceleration. In this work we present the analysis and development of an important scientific computing operation: matrix multiplication, targeting the commercial hybrid platform RASC (Reconfigurable Application-Specific Computing), developed by Silicon Graphics. The proposed architecture aims to reach better performance than conventional architectures, dissipating less power. To achieve this goal, we investigated the possibilities of implementation in parallel and data reuse intrinsic to the algorithm. Based on this investigation we propose a case study that uses the available resources in the target platform to explore these features.