Computing Models for FPGA-Based Accelerators Export

@article{citeulike:3501075, abstract = {Field-programmable gate arrays are widely considered accelerators for compute-intensive applications. A critical phase of FPGA application development is finding and mapping to the appropriate computing model. These models differ from models generally used in programming. For example, whereas parallel computing models are often based on thread execution and interaction, FPGA computing can exploit more degrees of freedom than are available in software. This 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 FPGA-based accelerators in molecular modeling.}, author = {Herbordt, Martin C. and Gu, Yongfeng and Vancourt, Tom and Model, Josh and Sukhwani, Bharat and Chiu, Matt}, booktitle = {Computing in Science \& Engineering}, citeulike-article-id = {3501075}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/MCSE.2008.143}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4653203}, doi = {10.1109/MCSE.2008.143}, journal = {Computing in Science \& Engineering}, keywords = {computer\_architecture, formal\_language\_theory, fpga, fpgasupercomputing, language\_design, molecular\_dynamics, parallel\_programming, reconfigurable\_computing, trends}, number = {6}, pages = {35--45}, posted-at = {2008-11-10 12:52:53}, priority = {2}, title = {Computing Models for FPGA-Based Accelerators}, url = {http://dx.doi.org/10.1109/MCSE.2008.143}, volume = {10}, year = {2008} }

TY - JOUR ID - citeulike:3501075 L3 - citeulike-article-id:3501075 N2 - Field-programmable gate arrays are widely considered accelerators for compute-intensive applications. A critical phase of FPGA application development is finding and mapping to the appropriate computing model. These models differ from models generally used in programming. For example, whereas parallel computing models are often based on thread execution and interaction, FPGA computing can exploit more degrees of freedom than are available in software. This 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 FPGA-based accelerators in molecular modeling. IS - 6 JF - Computing in Science & Engineering EP - 45 TI - Computing Models for FPGA-Based Accelerators VL - 10 T2 - Computing in Science & Engineering SP - 35 KW - computer_architecture KW - formal_language_theory KW - fpga KW - fpgasupercomputing KW - language_design KW - molecular_dynamics KW - parallel_programming KW - reconfigurable_computing KW - trends AU - Herbordt, Martin AU - Gu, Yongfeng AU - Vancourt, Tom AU - Model, Josh AU - Sukhwani, Bharat AU - Chiu, Matt PY - 2008/// UR - http://dx.doi.org/10.1109/MCSE.2008.143 ER -