We present the Real-time Accurate Cell-shape Extractor (RACE), a high-throughput image
analysis framework for automated three-dimensional cell segmentation in large-scale …

We study and characterize the performance of operations in an important class of
applications on GPUs and Many Integrated Core (MIC) architectures. Our work is motivated …

Mobile e-health applications provide users and healthcare practitioners with an insightful
way to check users/patients' status and monitor their daily calorie intake. Mobile e-health …

Heterogeneous parallel and distributed computing systems frequently must operate in
environments where there is uncertainty in system parameters. Robustness can be defined …

In the past few years, with the rapid development of CPU-GPU heterogeneous computing,
the issue of task scheduling in the heterogeneous cluster has attracted a great deal of …

This paper proposed a topology-based GPU scheduling framework. The framework is based
on the traditional kubernetes GPU scheduling algorithm. In existing algorithms, GPU can …

We have designed and implemented a Grid RPC system called OmniRPC, for parallel
programming in cluster and grid environments. While OmniRPC inherits its API from Ninf, the …

We address the problem of efficient execution of a computation pattern, referred to here as
the irregular wavefront propagation pattern (IWPP), on hybrid systems with multiple CPUs …

Similarity search in high-dimensional spaces is a pivotal operation for several database
applications, including online content-based multimedia services. With the increasing …

Background We describe a suite of tools and methods that form a core set of capabilities for
researchers and clinical investigators to evaluate multiple analytical pipelines and quantify …