activity
20182021
most citedMeasurement and Analysis of GPU-accelerated Applications with HPCToolkit

20 citations · 23 across the 3 of their papers we have counts for

collaborators

6 papers

cs.DC202120 cited

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

Keren Zhou, Laksono Adhianto, Jonathon Anderson +6

To address the challenge of performance analysis on the US DOE's forthcoming exascale supercomputers, Rice University has been extending its HPCToolkit performance tools to support…

cs.DC20201 cited

Accelerating High-Order Stencils on GPUs

Ryuichi Sai, John Mellor-Crummey, Xiaozhu Meng +2

Stencil computations are widely used in HPC applications. Today, many HPC platforms use GPUs as accelerators. As a result, understanding how to perform stencil computations fast on…

cs.PF2020

GPA: A GPU Performance Advisor Based on Instruction Sampling

Keren Zhou, Xiaozhu Meng, Ryuichi Sai +1

Developing efficient GPU kernels can be difficult because of the complexity of GPU architectures and programming models. Existing performance tools only provide coarse-grained sugg…

cs.CR20202 cited

Confidential Attestation: Efficient in-Enclave Verification of Privacy Policy Compliance

Weijie Liu, Wenhao Wang, Xiaofeng Wang +9

A trusted execution environment (TEE) such as Intel Software Guard Extension (SGX) runs a remote attestation to prove to a data owner the integrity of the initial state of an encla…

cs.PF2020

Parallel Binary Code Analysis

Xiaozhu Meng, Jonathon M. Anderson, John Mellor-Crummey +3

Binary code analysis is widely used to assess a program's correctness, performance, and provenance. Binary analysis applications often construct control flow graphs, analyze data f…

cs.CR2018

Adversarial Binaries for Authorship Identification

Xiaozhu Meng, Barton P. Miller, Somesh Jha

Binary code authorship identification determines authors of a binary program. Existing techniques have used supervised machine learning for this task. In this paper, we look this p…