To reduce the complexity of studying a parallel mechanism for natural language learning and understanding which supports both utterance and discourse processing, we propose a comp...
Multiprocessing is already prevalent in servers where multiple clients present an obvious source of thread-level parallelism. However, the case for multiprocessing is less clear f...
Developing and debugging parallel programs particularly for distributed memory architectures is still a difficult task. The most popular approach to developing parallel programs f...
A number of deterministic parallel programming models with strong safety guarantees are emerging, but similar support for nondeterministic algorithms, such as branch and bound sea...
Robert L. Bocchino Jr., Stephen Heumann, Nima Hona...
Large-scale, user-facing applications are increasingly moving from relational databases to distributed key/value stores for high-request-rate, low-latency workloads. Often, this m...
Michael Armbrust, Nick Lanham, Stephen Tu, Armando...