26 citations · 66 across the 10 of their papers we have counts for
10 papers
Not All SWAPs Have the Same Cost: A Case for Optimization-Aware Qubit Routing
Ji Liu, Peiyi Li, Huiyang Zhou
Despite rapid advances in quantum computing technologies, the qubit connectivity limitation remains to be a critical challenge. Both near-term NISQ quantum computers and relatively…
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…
Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits
Ji Liu, Luciano Bello, Huiyang Zhou
In this paper, we propose a novel quantum compiler optimization, named relaxed peephole optimization (RPO) for quantum computers. RPO leverages the single-qubit state information t…
Streamlining Integrity Tree Updates for Secure Persistent Non-Volatile Memory
Alexander Freij, Shougang Yuan, Huiyang Zhou +1
Emerging non-volatile main memory (NVMM) is rapidly being integrated into computer systems. However, NVMM is vulnerable to potential data remanence and replay attacks. Established…
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…
In-Place Zero-Space Memory Protection for CNN
Hui Guan, Lin Ning, Zhen Lin +3
Convolutional Neural Networks (CNN) are being actively explored for safety-critical applications such as autonomous vehicles and aerospace, where it is essential to ensure the reli…
Quantum Circuits for Dynamic Runtime Assertions in Quantum Computation
Huiyang Zhou, Gregory Byrd
In this paper, we propose quantum circuits for runtime assertions, which can be used for both software debugging and error detection. Runtime assertion is challenging in quantum co…
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,…