16 citations · 41 across the 7 of their papers we have counts for
8 papers
Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation
Matthew Raffel, Lizhong Chen
Simultaneous speech translation is an essential communication task difficult for humans whereby a translation is generated concurrently with oncoming speech inputs. For such a stre…
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation
Matthew Raffel, Drew Penney, Lizhong Chen
Transformer models using segment-based processing have been an effective architecture for simultaneous speech translation. However, such models create a context mismatch between tr…
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
Drew Penney, Bin Li, Lizhong Chen +6
Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of…
PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications
Drew Penney, Bin Li, Jaroslaw Sydir +5
A growing number of service providers are exploring methods to improve server utilization and reduce power consumption by co-scheduling high-priority latency-critical workloads wit…
UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs
Yongbin Gu, Wenxuan Wu, Yunfan Li +1
The recent introduction of Unified Virtual Memory (UVM) in GPUs offers a new programming model that allows GPUs and CPUs to share the same virtual memory space, which shifts the co…
The gem5 Simulator: Version 20.0+
Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram +75
The open-source and community-supported gem5 simulator is one of the most popular tools for computer architecture research. This simulation infrastructure allows researchers to mod…
A Survey of Machine Learning Applied to Computer Architecture Design
Drew D. Penney, Lizhong Chen
Machine learning has enabled significant benefits in diverse fields, but, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has explored…
Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework
Ting-Ru Lin, Drew Penney, Massoud Pedram +1
Machine learning applied to architecture design presents a promising opportunity with broad applications. Recent deep reinforcement learning (DRL) techniques, in particular, enable…