Coarray-based load balancing on heterogeneous and many-core architectures

A Cross-Core Performance Model for Heterogeneous Many-Core Architectures

An accurate performance predictor to identify the most suitable core-architecture to execute each thread/workload in a heterogeneous many-core structure is proposed. The devised predictor is based on a linear regression model that considers several different parameters of the many-core processor architectures, including the cache size, issuewidth, re-order buffer size, load/store queues size, e...

Many-Task Computing on Many-Core Architectures

Many-Task Computing (MTC) is a common scenario for multiple parallel systems, such as cluster, grids, cloud and supercomputers, but it is not so popular in shared memory parallel processors. In this sense and given the spectacular growth in performance and in number of cores integrated in many-core architectures, the study of MTC on such architectures is becoming more and more relevant. In this...

Profile-Based Load Balancing for Heterogeneous Clusters

Cluster computing is becoming increasingly popular for providing cost-effective and affordable parallel computing for day-to-day computational needs [2, 11, 16]. Such environments consist of clusters of workstations connected by Local Area Networks (LANs). The possibility of the incremental expansion of clusters by incorporating new generations of computing nodes and networking technologies is ...

Many Core Hardware Architectures

Training Images-Based Stochastic Simulation on Many-Core Architectures

In the past decades, multiple-point geostatistical methods (MPS) are increasing in popularity in various fields. Compared with the traditional techniques, MPS techni‐ ques have the ability to characterize geological reality that commonly has complex structures such as curvilinear and long-range channels by using high-order statistics for pattern reconstruction. As a result, the computational bu...