20 citations · 34 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
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…
Profile-Guided, Multi-Version Binary Rewriting
Xiaozhu Meng, Buddhika Chamith, Ryan Newton
The static instrumentation of machine code, also known as binary rewriting, is a power technique, but suffers from high runtime overhead compared to compiler-level instrumentation.…
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…
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…