Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
As we move to large manycores, the hardware-based global checkpointing schemes that have been proposed for small shared-memory machines do not scale. Scalability barriers include ...
Background: The Smith-Waterman algorithm for local sequence alignment is more sensitive than heuristic methods for database searching, but also more time-consuming. The fastest ap...
Parallel software is increasingly necessary to take advantage of multi-core architectures, but it is also prone to concurrency bugs which are particularly hard to avoid, find, an...
: Since the advent of Gnutella, Peer-to-Peer (P2P) protocols have matured towards a fundamental design element for large-scale, self-organising distributed systems. Many research e...