10 citations · 10 across the 2 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…