activity
20182022
most citedSPARTA: A Divide and Conquer Approach to Address Translation for Accelerators

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AR2022

Scale-out Systolic Arrays

Ahmet Caner Yüzügüler, Canberk Sönmez, Mario Drumond +3

Multi-pod systolic arrays are emerging as the architecture of choice in DNN inference accelerators. Despite their potential, designing multi-pod systolic arrays to maximize effecti…

cs.AR2020

Enabling High-Capacity, Latency-Tolerant, and Highly-Concurrent GPU Register Files via Software/Hardware Cooperation

Mohammad Sadrosadati, Amirhossein Mirhosseini, Ali Hajiabadi +7

Graphics Processing Units (GPUs) employ large register files to accommodate all active threads and accelerate context switching. Unfortunately, register files are a scalability bot…

cs.AR20201 cited

SPARTA: A Divide and Conquer Approach to Address Translation for Accelerators

Javier Picorel, Seyed Alireza Sanaee Kohroudi, Zi Yan +3

Virtual memory (VM) is critical to the usability and programmability of hardware accelerators. Unfortunately, implementing accelerator VM efficiently is challenging because the are…

cs.CR2019

SMoTherSpectre: exploiting speculative execution through port contention

Atri Bhattacharyya, Alexandra Sandulescu, Matthias Neugschwandtner +4

Spectre, Meltdown, and related attacks have demonstrated that kernels, hypervisors, trusted execution environments, and browsers are prone to information disclosure through micro-a…

cs.AR2018

Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms

Phillip Stanley-Marbell, Armin Alaghi, Michael Carbin +13

When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, programming languages, and sys…