Uzi Vishkin

TL;DR: Proper incorporation of the ideas offered offer exciting avenues to resolving the parallel programming problem, and an alternative way for building faster, more useable and much more compact supercomputers.

TL;DR: A scalable bootstrapping model which integrates a distributed bottom-up algorithm that constructs a spanning tree with degree at most one larger than the optimal, a resource discovery algorithm for efficient dissemination of local connectivity information, and synchronization protocols to guarantee the efficient emergence of overall network connectivity from local interactions is presented.

TL;DR: A novel Resource-Aware Prefetching (RAP) compiler algorithm that is aware of the number of simultaneous prefetches supported, and optimized for the same, and is robust in that it improves performance across all design points considered.

TL;DR: This work presents parallel and serial algorithms for finding all occurrences of the pattern in the text with at most k differences and applies the following new approach for handling the text.

TL;DR: ImmunoTyper-SR is introduced, an algorithmic method for genotype and CNV analysis of the germline IGHV genes using Illumina whole genome sequencing (WGS) data based on a novel combinatorial optimization formulation that aims to minimize the total edit distance between reads and their assigned I GHV alleles from a given database.