Archive of posts tagged: Accelerators
Rethinking Neural Network Dataflow in Larger Scales
Deep learning, with its most representative algorithm, deep neural networks, has been the primary driving force for the recent rapid development of high-performance computing systems. Hardware researchers are proposing a large number of specialized chip architectures...
Posit: A Potential Replacement for IEEE 754
Motivation Number systems and computer arithmetics are essential for designing efficient hardware and software architecture. In particular, real-valued computation constitutes a crucial component in almost all forms of today’s computing systems from mobile devices to...
NSF Workshop Report on Future Directions for Parallel and Distributed Computing
Due to technology challenges and potential societal benefits, NSF has provided sustained funding for issues surrounding effective scaling of parallel and distributed computing, including through the Exploiting Parallelism and Scalability(XPS) Program, begun in 2012,...
I-USHER: Interfaces to Unlock the Specialized HardwarE Revolution
We are pleased to share the results of a DARPA ISAT study, I-USHER: Interfaces to Unlock the Specialized HardwarE Revolution, arguing for new hardware/software interfaces to enable the revolution promised by hardware specialization. Advances in hardware specialization...Subscribe
