For each device, we present optimization strategies and analyze use cases where each device is most effective. The results show that, for large input sizes, ...
This article analyzes an important domain of applications, referred to as sliding-window applications, implemented on FPGAs, GPUs, and multicore CPUs, ...
They concluded that the FPGA had better performance at higher kernel sizes than the GPU. Our study differs by evaluating multiple sliding-window applications, ...
In this article, we analyze an important domain of applications, referred to as sliding-window applications, implemented on FPGAs, GPUs, and multicore CPUs. For ...
Apr 24, 2020 · Patrick Cooke, Jeremy Fowers, Greg Brown, Greg Stitt: A Tradeoff Analysis of FPGAs, GPUs, and Multicores for Sliding-Window Applications.
A tradeoff analysis of FPGAs, GPUs, and multicores for sliding-window applications. P Cooke, J Fowers, G Brown, G Stitt. ACM Transactions on Reconfigurable ...
In this paper, we analyze an important domain of applications, referred to as sliding-window applications, when executing on FPGAs, GPUs, and multicores. For ...
A Performance and Energy Comparison of FPGAs, GPUs, and Multicores for Sliding-Window Applications. Jeremy Fowers, Greg Brown, Patrick Cooke, Greg Stitt.
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In this paper, we analyze an important domain of applications, referred to as sliding-window applications, when executing on FPGAs, GPUs, and multicores. For ...
This paper analyzes an important domain of applications, referred to as sliding-window applications, when executing on FPGAs, GPUs, and multicores, ...