The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observatio...
Qing Yi, Keith Seymour, Haihang You, Richard W. Vu...
Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
We present a modular and scalable approach for automatically extracting actual performance information from a set of FPGA-based architecture topologies. This information is used d...
Douglas Densmore, Adam Donlin, Alberto L. Sangiova...
Abstract. Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-...
Abstract — A datapath synthesis system (DPSS) for the reconfigurable datapath architecture (rDPA) is presented. The DPSS allows automatic mapping of high level descriptions onto...