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재구성 가능한 코프로세서의 속도 향상을 위한 새로운 스케줄링과 맵핑

홍혜정, Hyun Jin Kim, 강성호

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Abstract

Reconfigurable coprocessors take charge of time-consuming and data-intensive computations. Speedup of reconfigurable coprocessors can lead performance improvement of entire systems. In this paper, we propose a new scheduling and mapping method considering the characteristics of applications. The achieved speedup ranges from 11% to 35%.

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What this paper is about

Reconfigurable coprocessors take charge of time-consuming and data-intensive computations. Speedup of reconfigurable coprocessors can lead performance improvement of entire systems. In this paper, we propose a new scheduling and mapping method considering the characteristics of applications. The achieved speedup ranges from 11% to 35%.

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Available abstract

Reconfigurable coprocessors take charge of time-consuming and data-intensive computations. Speedup of reconfigurable coprocessors can lead performance improvement of entire systems. In this paper, we propose a new scheduling and mapping method considering the characteristics of applications. The achieved speedup ranges from 11% to 35%.

Key concepts: Speedup, Coprocessor, Computer science, Parallel computing, Scheduling (production processes), Computation, Algorithm, Mathematics

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재구성 가능한 코프로세서의 속도 향상을 위한 새로운 스케줄링과 맵핑 — Research Paper | ScholarLens