This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Convergent scheduling is a general framework for instruction scheduling and cluster assignment for parallel, clustered architectures. A convergent scheduler is composed of many ind...
Walter Lee, Diego Puppin, Shane Swenson, Saman P. ...
Estimating end-to-end Internet distance can benefit many applications and services, such as efficient overlay construction, overlay routing and location, and peer-topeer systems. ...
Yan Chen, Khian Hao Lim, Randy H. Katz, Chris Over...
Using multi-GPU systems, including GPU clusters, is gaining popularity in scientific computing. However, when using multiple GPUs concurrently, the conventional data parallel GPU...
Abstract. Resource provisioning is one of the main challenges in resource sharing environments such as multi-cluster Grids. In these environments each cluster serves requests from ...