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Towards the inclusion of FPGAs on Commodity Heterogeneous Systems

机译:旨在将FPGA纳入商品异质系统

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Nowadays, most commodity heterogeneous systems consist in either a CPU+GPU or CPU+FPGA. An attractive alternative consists in merging both in a new class of heterogeneous system: CPU+GPU+FPGA in order to combine the advantages of all of them into a single platform. In a three-device heterogeneous system, similarly to a two-device system, we have to face problems like: programmability versus device performance, data-buffers management and workload distribution. In this work, we present the first steps into a runtime which deals with theses problems for a system with a CPU+GPU+FPGA.
机译:如今,大多数商品异构系统包括CPU + GPU或CPU + FPGA。有吸引力的替代方案包括在一类新的异构系统中合并:CPU + GPU + FPGA,以将所有它们的优点与单一平台结合起来。在三个设备异构系统中,类似于双器件系统,我们必须面临以下问题:可编程性与设备性能,数据缓冲区管理和工作负载分发。在这项工作中,我们将第一个步骤介绍进入运行时,该步骤涉及具有CPU + GPU + FPGA的系统的问题。

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