A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
With increasing demands for high performance by embedded systems, especially by digital signal processing applications, embedded processors must increase available instruction lev...
We present a performance model-driven framework for automated performance tuning (autotuning) of sparse matrix-vector multiply (SpMV) on systems accelerated by graphics processing...
Subword parallelism has succeeded in accelerating many multimedia applications. Subword permutation instructions have been proposed to efficiently rearrange subwords in or among r...
Efficient high level design tools that can map behavioral descriptions to FPGA architectures are one of the key requirements to fully leverage FPGA for high throughput computatio...
Malay Haldar, Anshuman Nayak, Alok N. Choudhary, P...