Publications by authors named "Matt Chiu"

2 Publications

  • Page 1 of 1

Molecular Dynamics Simulations on High-Performance Reconfigurable Computing Systems.

ACM Trans Reconfigurable Technol Syst 2010 Nov;3(4)

Computer Architecture and Automated Design Laboratory; Department of Electrical and Computer Engineering; Boston University; Boston, MA 02215; Web: http://www.bu.edu/caadlab.

The acceleration of molecular dynamics (MD) simulations using high-performance reconfigurable computing (HPRC) has been much studied. Given the intense competition from multicore and GPUs, there is now a question whether MD on HPRC can be competitive. We concentrate here on the MD kernel computation: determining the short-range force between particle pairs. In one part of the study, we systematically explore the design space of the force pipeline with respect to arithmetic algorithm, arithmetic mode, precision, and various other optimizations. We examine simplifications and find that some have little effect on simulation quality. In the other part, we present the first FPGA study of the filtering of particle pairs with nearly zero mutual force, a standard optimization in MD codes. There are several innovations, including a novel partitioning of the particle space, and new methods for filtering and mapping work onto the pipelines. As a consequence, highly efficient filtering can be implemented with only a small fraction of the FPGA's resources. Overall, we find that, for an Altera Stratix-III EP3ES260, 8 force pipelines running at nearly 200 MHz can fit on the FPGA, and that they can perform at 95% efficiency. This results in an 80-fold per core speed-up for the short-range force, which is likely to make FPGAs highly competitive for MD.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1145/1862648.1862653DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3109751PMC
November 2010

Computing Models for FPGA-Based Accelerators.

Comput Sci Eng 2008 Oct;10(6):35-45

Boston University.

Field-programmable gate arrays are widely considered as accelerators for compute-intensive applications. A critical phase of FPGA application development is finding and mapping to the appropriate computing model. FPGA computing enables models with highly flexible fine-grained parallelism and associative operations such as broadcast and collective response. Several case studies demonstrate the effectiveness of using these computing models in developing FPGA applications for molecular modeling.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1109/MCSE.2008.143DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3096930PMC
October 2008
-->