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LogCA: A Performance Model for Hardware Accelerators
To address the Dark Silicon problem, architects have increasingly turned to special-purpose hardware accelerators to improve the performance and energy efficiency of common computational kernels, such as encryption and compression. Unfortunately, the latency and overhead required to off-load a computation to an accelerator sometimes outweighs the potential benefits, resulting in a net decrease …
- Edisi
- VOL. 14, NO. 2, JULY-DECEMBER 2015
- ISBN/ISSN
- Digital Object Ident
- Deskripsi Fisik
- IEEE COMPUTER ARCHITECTURE LETTERS, VOL. 14, NO. 2, JULY-DECEMBER 2015
- Judul Seri
- COMPUTER ARCHITECTURE
- No. Panggil
- -
GPGPU Footprint Models to Estimate Per-Core Power
We explore the problem of how to easily estimate the per-core power distribution of GPGPUs from the total power of all cores. We show that the dynamic energy consumption of a core for a given kernel, represented by its work footprint, is approximately proportional to the total time taken by all work units executing on that core, and the static power, represented by its core footprint, is propo…
- Edisi
- -
- ISBN/ISSN
- DOI 10.1109/LCA.2015
- Deskripsi Fisik
- EEE Computer Architecture Letters
- Judul Seri
- Computer Architecture
- No. Panggil
- -
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