The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant problem for many cluster-based research computing facilities. While progress is be...
Anwar Mamat, Ying Lu, Jitender S. Deogun, Steve Go...
This paper presents a multicore-cache model that reflects the reality that multicore processors have both per-processor private (L1) caches and a large shared (L2) cache on chip. ...
Guy E. Blelloch, Rezaul Alam Chowdhury, Phillip B....
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...