Heterogeneous Computing Elements: A Quantitative Evaluation

Maya Gokhale | 19-ERD-004

Executive Summary

We will develop a suite of tools to enable rapid prototyping and evaluation of hardware units suitable for insertion into multiple computing fabric locations, including near processor/cache, memory/storage, and network. With the surge of heterogeneous accelerator designs currently being proposed for future computational architectures, our project fills a compelling need for tools that provide quantitative evaluation of heterogeneous processing units.

Publications, Presentations, and Pa tents

Jain, A. K., et al. 2019. "Performance Assessment of Emerging Memories Through FPGA Emulation." IEEE MICRO 39 (1): 8-16. doi:10.1109/MM.2018.2877291. LLNL-JRNL-754877

Peng, A. B., et al. 2019. "System Evaluation of the Intel Optane Byte-addressable NVM." MEMSYS 2019: Proceedings of the International Symposium on Memory Systems, 304-315. doi:10.1109/MM.2018.2877291. LLNL-CONF-777377