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Heterogeneous computing is gaining attention from both industry and academia nowadays. One driving factor for heterogeneous computing is the power efficiency. GPU and FPGA have been reported to achieve much higher power efficiency over CPU on many applications. Comparisons between GPU and FPGA show different characteristics of GPU and FPGA in accelerated computing. Some tasks run better on GPU, some...
This paper deals with the mathematical modelling of a scheduling problem in a heterogeneous CPU/FPGA architecture with communication delay in order to minimize the makespan, Cmex. This study was motivated by the quality of the available solvers for Mixed Integer Program. The proposed model includes the communication delay constraints in a general form in a heterogeneous case depending at the same...
This paper introduces hthreads, a unifying programming model for specifying application threads running within a hybrid computer processing unit (CPU)/field-programmable gate-array (FPGA) system. Presently accepted hybrid CPU/FPGA computational models-and access to these computational models via high level languages-focus on programming language extensions to increase accessibility and portability...
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