305 citations · 659 across the 23 of their papers we have counts for
7 papers · 1 filter
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
Sian Jin, Chengming Zhang, Xintong Jiang +5
Training wide and deep neural networks (DNNs) require large amounts of storage resources such as memory because the intermediate activation data must be saved in the memory during…
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving
Qiyu Wan, Haojun Xia, Xingyao Zhang +3
Bayesian Neural Networks (BNNs) that possess a property of uncertainty estimation have been increasingly adopted in a wide range of safety-critical AI applications which demand rel…
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers
Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano +2
Multi-accelerator servers are increasingly being deployed in shared multi-tenant environments (such as in cloud data centers) in order to meet the demands of large-scale compute-in…
Dr. Top-k: Delegate-Centric Top-k on GPUs
Anil Gaihre, Da Zheng, Scott Weitze +5
Recent top- computation efforts explore the possibility of revising various sorting algorithms to answer top- queries on GPUs. These endeavors, unfortunately, perform signifi…
Randomness In Neural Network Training: Characterizing The Impact of Tooling
Donglin Zhuang, Xingyao Zhang, Shuaiwen Leon Song +1
The quest for determinism in machine learning has disproportionately focused on characterizing the impact of noise introduced by algorithmic design choices. In this work, we addres…
Toward Efficient Interactions between Python and Native Libraries
Jialiang Tan, Yu Chen, Zhenming Liu +4
Python has become a popular programming language because of its excellent programmability. Many modern software packages utilize Python for high-level algorithm design and depend o…
Q-VR: System-Level Design for Future Mobile Collaborative Virtual Reality
Chenhao Xie, Xie Li, Yang Hu +3
High Quality Mobile Virtual Reality (VR) is what the incoming graphics technology era demands: users around the world, regardless of their hardware and network conditions, can all…