In recent years, the limits of the multicore approach emerged in the so-called “dark silicon” issue and diminishing returns of an ever-increasing core count. Hardware manufacturers, out of necessity, switched their focus to accelerators, a new paradigm that pursues specialization and heterogeneity over generality and homogeneity. They are special-purpose hardware structures separated from the CPU with aspects that exhibit a high degree of variability. We define a taxonomy based on fourteen of these aspects, grouped in four macro-categories: general aspects, host coupling, architecture, and software aspects. According to it, we categorize around 100 accelerators of the last decade from both industry and academia, and critically analyze emerging trends. We complete our discussion with throughput and efficiency figures. Then, we discuss some prominent open challenges that accelerators are facing, analyzing state-of-the-art solutions, and suggesting prospective research directions for the future.
Peccerillo, B., Mannino, M., Mondelli, A., Bartolini, S. (2022). A survey on hardware accelerators: Taxonomy, trends, challenges, and perspectives. JOURNAL OF SYSTEMS ARCHITECTURE, 129, 102561 [10.1016/j.sysarc.2022.102561].
A survey on hardware accelerators: Taxonomy, trends, challenges, and perspectives
Peccerillo B.
;Mannino M.;Bartolini S.
2022-01-01
Abstract
In recent years, the limits of the multicore approach emerged in the so-called “dark silicon” issue and diminishing returns of an ever-increasing core count. Hardware manufacturers, out of necessity, switched their focus to accelerators, a new paradigm that pursues specialization and heterogeneity over generality and homogeneity. They are special-purpose hardware structures separated from the CPU with aspects that exhibit a high degree of variability. We define a taxonomy based on fourteen of these aspects, grouped in four macro-categories: general aspects, host coupling, architecture, and software aspects. According to it, we categorize around 100 accelerators of the last decade from both industry and academia, and critically analyze emerging trends. We complete our discussion with throughput and efficiency figures. Then, we discuss some prominent open challenges that accelerators are facing, analyzing state-of-the-art solutions, and suggesting prospective research directions for the future.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1211874