We present a novel framework for recognizing repetitive
sequential events performed by human actors with strong
temporal dependencies and potential parallel overlap. Our
solutio...
Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
Simulating chip-multiprocessor systems (CMP) can take a long time. For single-threaded workloads, earlier work has shown the utility of phase analysis, that is identification of r...
Jeffrey Namkung, Dohyung Kim, Rajesh K. Gupta, Igo...
Pattern recognition and computer vision tasks are computationally intensive, repetitive, and often exceed the capabilities of the CPU, leaving little time for higher level tasks. ...
We present the algorithm to multiply univariate polynomials with integer coefficients efficiently using the Number Theoretic transform (NTT) on Graphics Processing Units (GPU). The...