Ph.D Pedro Valero-Lara is a Senior Computer Scientist in the Programming Systems Group into the Advanced Computing Systems Research Section and Computer Science and Mathematics Division of Oak Ridge ...

Abstract: In this work, we present a survey of the different parallel programming models and tools available today with special consideration to their suitability for high-performance computing. Thus, ...

Formed June 2012 by AMD, ARM, Imagination, MediaTek, Qualcomm, Samsung and Texas Instruments and seeded by a number of donations from AMD. Heterogeneous System Architecture (HSA) Foundation is a ...

In today's technology-driven world, the demand for faster and more efficient computing has grown tremendously. Applications such as artificial intelligence, machine learning, scientific simulations, ...

Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high-fidelity industrial simulation. Engineering ...

Traditional Von Neumann processors, while effective for many tasks, face limitations when handling the parallel processing and large data demands of modern AI workloads. Heterogeneous computing ...

With the explosive growth of terminal devices, scheduling massive parallel task streams has become a core challenge for distributed platforms. For computing resource providers, enhancing reliability, ...

This paper proposes a heterogeneous real-time baseband astronomical backend solution centered on RFSoC and combined GPU. The solution implemented the integration of the high-performance, completely ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Explore alternatives to CUDA for parallel computing on various GPU architectures. Utilize OpenCL for cross-platform programming with support for AMD, Intel, and NVIDIA. CUDA is a wonderful piece of ...

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing.