activity
20162021
most citedCODA: Enabling Co-location of Computation and Data for Near-Data Processing

25 citations · 46 across the 7 of their papers we have counts for

collaborators

7 papers

cs.ET2021★ 10 cited

Accelerating Variational Quantum Algorithms Using Circuit Concurrency

Salonik Resch, Anthony Gutierrez, Joon Suk Huh +5

Variational quantum algorithms (VQAs) provide a promising approach to achieve quantum advantage in the noisy intermediate-scale quantum era. In this era, quantum computers experien…

cs.AR2018

High-Performance and Energy-Effcient Memory Scheduler Design for Heterogeneous Systems

Rachata Ausavarungnirun, Gabriel H. Loh, Lavanya Subramanian +2

When multiple processor cores (CPUs) and a GPU integrated together on the same chip share the off-chip DRAM, requests from the GPU can heavily interfere with requests from the CPUs…

cs.AR2018★ 5 cited

Holistic Management of the GPGPU Memory Hierarchy to Manage Warp-level Latency Tolerance

Rachata Ausavarungnirun, Saugata Ghose, Onur Kayıran +4

In a modern GPU architecture, all threads within a warp execute the same instruction in lockstep. For a memory instruction, this can lead to memory divergence: the memory requests…

cs.AR2017★ 25 cited

CODA: Enabling Co-location of Computation and Data for Near-Data Processing

Hyojong Kim, Ramyad Hadidi, Lifeng Nai +5

Recent studies have demonstrated that near-data processing (NDP) is an effective technique for improving performance and energy efficiency of data-intensive workloads. However, lev…

cs.OS2017

GPU System Calls

Ján Veselý, Arkaprava Basu, Abhishek Bhattacharjee +3

GPUs are becoming first-class compute citizens and are being tasked to perform increasingly complex work. Modern GPUs increasingly support programmability- enhancing features such…

cs.DC2016★ 1 cited

Achieving both High Energy Efficiency and High Performance in On-Chip Communication using Hierarchical Rings with Deflection Routing

Rachata Ausavarungnirun, Chris Fallin, Xiangyao Yu +5

Hierarchical ring networks, which hierarchically connect multiple levels of rings, have been proposed in the past to improve the scalability of ring interconnects, but past hierarc…

cs.AR2016★ 5 cited

Enabling Efficient Dynamic Resizing of Large DRAM Caches via A Hardware Consistent Hashing Mechanism

Kevin K. Chang, Gabriel H. Loh, Mithuna Thottethodi +6

Die-stacked DRAM has been proposed for use as a large, high-bandwidth, last-level cache with hundreds or thousands of megabytes of capacity. Not all workloads (or phases) can produ…