As parallel jobs get bigger in size and finer in granularity, “system noise” is increasingly becoming a problem. In fact, fine-grained jobs on clusters with thousands of SMP...
Dan Tsafrir, Yoav Etsion, Dror G. Feitelson, Scott...
A problem with running distributed shared memory applications in heterogeneous environments is that making optimal use of available resources often requires significant changes t...
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...
Abstract— Shared computing utilities allocate compute, network, and storage resources to competing applications on demand. An awareness of the demands and behaviors of the hosted...
— Combining the existing approaches for optical intelligence and the speed and capacity of light is undoubtedly the only viable strategy for building future-proof, highspeed netw...