26 citations · 66 across the 10 of their papers we have counts for
5 papers · 1 filter
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory
Xinjian Long, Xiangyang Gong, Huiyang Zhou
This paper proposes a novel intelligent framework for oversubscription management in CPU-GPU UVM. We analyze the current rule-based methods of GPU memory oversubscription with unif…
Deep Learning based Data Prefetching in CPU-GPU Unified Virtual Memory
Xinjian Long, Xiangyang Gong, Huiyang Zhou
Unified Virtual Memory (UVM) relieves the developers from the onus of maintaining complex data structures and explicit data migration by enabling on-demand data movement between CP…
MKPipe: A Compiler Framework for Optimizing Multi-Kernel Workloads in OpenCL for FPGA
Ji Liu, Abdullah-Al Kafi, Xipeng Shen +1
OpenCL for FPGA enables developers to design FPGAs using a programming model similar for processors. Recent works have shown that code optimization at the OpenCL level is important…
Exploring Memory Persistency Models for GPUs
Zhen Lin, Mohammad Alshboul, Yan Solihin +1
Given its high integration density, high speed, byte addressability, and low standby power, non-volatile or persistent memory is expected to supplement/replace DRAM as main memory.…
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs
Chao Li, Yi Yang, Min Feng +2
Leveraging large data sets, deep Convolutional Neural Networks (CNNs) achieve state-of-the-art recognition accuracy. Due to the substantial compute and memory operations, however,…