Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Eddy Z. Zhang"'
Autor:
Fei Hua, Yuwei Jin, Yanhao Chen, Suhas Vittal, Kevin Krsulich, Lev S. Bishop, John Lapeyre, Ali Javadi-Abhari, Eddy Z. Zhang
Publikováno v:
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3.
Publikováno v:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Publikováno v:
MICRO
Quantum computers can solve problems that are intractable using the most powerful classical computer. However, qubits are fickle and error prone. It is necessary to actively correct errors in the execution of a quantum circuit. Quantum error correcti
Publikováno v:
ICPP
Programming today’s many-core processor is challenging. Due to the enormous amount of parallelism, synchronization is expensive. We need efficient data structures for providing automatic and scalable synchronization methods. In this paper, we focus
Publikováno v:
ASPLOS
Rapid progress in the physical implementation of quantum computers gave birth to multiple recent quantum machines implemented with superconducting technology. In these NISQ machines, each qubit is physically connected to a bounded number of neighbors
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 14:1-25
Data race detection has become an important problem in GPU programming. Previous designs of CPU race-checking tools are mainly task parallel and incur high overhead on GPUs due to access instrumentation, especially when monitoring many thousands of t
Publikováno v:
2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO).
Autor:
Eddy Z. Zhang
Publikováno v:
ICPP Workshops
Graph edge partition models have recently become an appealing alternative to graph vertex partition models for parallel and distributed computing due to their flexibility in balancing loads and their performance in reducing communication cost [1, 3].
Publikováno v:
Computer Science - Research and Development. 30:207-218
Power and energy are critical concerns for high performance computing systems from multiple perspectives, including cost, reliability/resilience and sustainability. At the same time, data locality and the cost of data movement have become dominating
Publikováno v:
International Journal of Parallel Programming. 41:855-869
Graphic processing units (GPU) have become increasingly adopted for the enhancement of computing throughput. However, the development of a high-quality GPU application is challenging, due to the large optimization space and complex unpredictable effe