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An evaluation of the many-core Longtium SP computer system

Signal Processing, Communication and Computing(2013)

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Abstract
The utilization wall, which lead to the Dark Silicon phenomenon, indicates that the energy efficiency will be the primary constraint in micro-processor architecture design in the near future. Since the stream processing natively has the high energy efficiency feature, we proposed the many-core Longtium stream processor (SP) architecture, which includes a coarsegrained reconfigurable array (CGRA), a simplified star-mesh static NoC and software managed stream memory system. In this paper, we demonstrate the evaluation methodology for Longtium SP. The methodology includes the FPGA prototyping system, baseline processor, software tool-chains, golden model and benchmarks. The FPGA prototyping system show that Longtium SP could averagely speedup the program by 11.6X and improve the energy efficiency by 177X, after taking the chip area into account it still could speedup the program by 5.8X compared to the dual-issue baseline RISC processor.
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Key words
baseline processor,stream memory system,coarse grained reconfigurable array,golden model,microprocessor chips,stream processing,software tool-chains,microprocessor architecture design,cgra,star mesh static noc,multiprocessing systems,stream processor,high energy efficiency,risc processor,coarse-gained reconfigurable array,no-blocking floating-point divider,computer architecture,manycore longtium sp computer system,fpga prototyping system,field programmable gate arrays,dark silicon,energy efficiency,performance,stream memory sub-system
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