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UNISTIndustry-University Convergence Campus
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UNISTAdmission
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Faculty Introduction
Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM support
Hardware transactional memory (HTM) is widely supported by commodity processors. While the effectiveness of HTM has been evaluated based on small-scale multi-core systems, it still remains unexplored to quantify the performance and energy efficiency of HTM for scientific workloads on large-scale NUMA systems, which have been increasingly adopted to high-performance computing.
UNIST Bulletin
UNIST-PUST Genomics Symposium
UNIST and Pyongyang University of Science and Technology (PUST) will be holding a symposium on genom..
