This paper proposes to enhance current task-based programming models by breaking their current master-slave approach between the main processor and its hardware accelerators. As a proof-of-concept, it presents an extension ...

Stream programming is a promising way to expose concurrency to the compiler. A stream program is built from kernels that communicate only via point-to-point streams. The stream compiler statically allocates these kernels ...

Managing criticality in task-based programming models opens a wide range of performance and power optimization opportunities in future manycore systems. Criticality aware task schedulers can benefit from these opportunities ...

As the number of transistors on a chip continues increasing the power consumption has become the most important constraint in processors design. Therefore, to increase performance, computer architects have decided to use ...

The increasing number of cores in manycore architectures causes important power and scalability problems in the memory subsystem. One solution is to introduce scratchpad memories alongside the cache hierarchy, forming a ...

In this paper we present the eDragon environment, a research platform created to perform complete performance analysis of new Web-based technologies. eDragon enables the understanding of how application servers work in ...

Address transformation schemes, such as skewing and linear transformations, have been proposed to achieve conflict-free access for streams with constant stride. However, this is achieved only for some strides. In this ...

This paper presents and evaluates a method to predict DRAM uncorrected errors, a leading cause of hardware failures in large-scale HPC clusters. The method uses a random forest classifier, which was trained and evaluated ...

Loops are the main time-consuming part of numerical applications. The performance of the loops is limited either by the resources offered by the architecture or by recurrences in the computation. To execute more operations ...