This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...
We propose a false-path-aware statistical timing analysis framework. In our framework, cell as well as interconnect delays are assumed to be correlated random variables. Our tool ...
Abstract--Parallelizing Monte-Carlo tree search has been considered to be a way to improve the strength of computer Go programs. In this paper, we analyze the performance of two ro...
Abstract. Motivated by parallel optimization, we study the SelfAdaptation algorithm for large population sizes. We first show that the current version of this algorithm does not r...
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and bl...