Deep Learning Recommendation Models (DLRMs) are important applications in various
domains and have evolved into one of the largest and most important machine learning …

Network performance has contributed fundamentally to the growth of supercomputing over
the past decades. In parallel, High Performance Computing (HPC) peak performance has …

For the last three decades a core use of FPGAs has been for processing communication:
FPGA-based SmartNICs are in widespread use from the datacenter to IoT. Augmenting …

Network demand for real-time applications like self-driving cars and cloud gaming strains
existing networks. Latency and congestion hurt user experience. Realistic testing is vital to …

Communication capabilities of FPGAs, combined with programmability in hardware
(reconfigurable logic) and software (soft-processors), often provide FPGAs a competitive …

Abstract Field Programmable Gate Arrays (FPGAs) can fulfill many critical and contrasting
roles in modern computing due to their combination of powerful computing and …

A long-standing goal, which is increasingly important in the post-Moore era, is to augment
system performance by building more intelligent compilers. One of our motivating …

Abstract Machine learning has evolved significantly recently and has penetrated every
aspect of science, technology, and daily life. As application prediction demands higher …

云网融合依托云的聚合能力, 实现多技术要素的协同, 集成及创新, 成为面向垂直行业场景化需求
的最佳选择. 海量数据增长, 数据频繁交互, 摩尔定律放缓都对基础设施的性能和成本提出更高 …

Molecular Dynamics (MD) is a computer simulation technique that executes iteratively over
discrete, infinitesimal time intervals. It has been a widely utilized application in the fields of …