Flock: A Framework for Deploying On-Demand Distributed Trust
Darya Kaviani, Sijun Tan, et al.
OSDI 2024
Power ISA™ Version 3.1 has introduced a new family of matrix math instructions, collectively known as the Matrix-Multiply Assist (MMA) facility. The instructions in this facility implement numerical linear algebra operations on small matrices and are meant to accelerate computation-intensive kernels, such as matrix multiplication, convolution and discrete Fourier transform. These instructions have led to a power- and area-efficient implementation of a high throughput math engine in the future POWER10 processor. Performance per core is 4 times better, at constant frequency, than the previous generation POWER9 processor. We also advocate the use of compiler built-ins as the preferred way of leveraging these instructions, which we illustrate through case studies covering matrix multiplication and convolution.
Darya Kaviani, Sijun Tan, et al.
OSDI 2024
Brian Thompto, Dq Nguyen, et al.
ISCA 2021
Jose Santos, Chen Wang
NetSoft 2023
Indervir Singh Banipal, Shubhi Asthana
Big Data 2022