Toward high-throughput algorithms on many-core architectures

Toward Efficient Fine-grained Dynamic Scheduling on Many-Core Architectures

The recent evolution of many-core architectures has resulted in chips where the number of processor elements (PEs) are in the hundreds and continue to increase every day. In addition, many-core processors are more and more frequently characterized by the diversity of their resources and the way the sharing of those resources is arbitrated. On such a machine, task scheduling is of paramount impo...

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...

High-Level Support for Pipeline Parallelism on Many-Core Architectures

With the increasing architectural diversity of many-core architectures the challenges of parallel programming and code portability will sharply rise. The EU project PEPPHER addresses these issues with a component-based approach to application development on top of a taskparallel execution model. Central to this approach are multi-architectural components which encapsulate different implementati...

Many Core Hardware Architectures

Efficient Primitives and Algorithms for Many-core architectures

OF THE DISSERTATION Efficient Primitives and Algorithms for Many-core architectures Graphics Processing Units (GPUs) are a fast evolving architecture. Over the last decade their programmability has been harnessed to solve non-graphics tasks—in many cases at a huge performance advantage to CPUs. Unlike CPUs, GPUs have always been a highly parallel architecture—thousands of lightweight execution ...