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Graphics processing units (GPU) had evolved from a specialized hardware capable to render high quality graphics in games to a commodity hardware for effective processing blocks of data in a parallel schema. This evolution is particularly…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-03-26 Luis Cabellos

Recently, heterogeneous hardware such as GPU and FPGA is used in many systems and also IoT devices are increased repidly. However, to utilize heterogeneous hardware, the hurdles are high because of much technical skills. In order to break…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-22 Yoji Yamato , Hirofumi Noguchi , Misao Kataoka , Takuma Isoda

An intensive use of reconfigurable hardware is expected in future embedded systems. This means that the system has to decide which tasks are more suitable for hardware execution. In order to make an efficient use of the FPGA it is…

Hardware Architecture · Computer Science 2013-01-16 Marcos Sanchez-Elez , Sara Roman

This paper introduces an effort to incorporate reconfigurable logic (FPGA) components into a software programming model. For this purpose, we have implemented a hardware engine for remote memory communication between hardware computation…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-22 Ruediger Willenberg , Paul Chow

We advocate a domain specific software development methodology for heterogeneous computing platforms such as Multicore CPUs, GPUs and FPGAs. We argue that three specific benefits are realised from adopting such an approach: portable,…

Computational Engineering, Finance, and Science · Computer Science 2014-08-22 Gordon Inggs , David Thomas , Wayne Luk

Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are allocated over successive batches, which makes the…

In order to make full use of heterogeneous hardware, it is necessary to have a technical skill of hardware such as OpenCL, and the current situation is that the barrier is high. Based on this background, I have proposed environment-adaptive…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-01 Yoji Yamato

With the end of both Dennard's scaling and Moore's law, computer users and researchers are aggressively exploring alternative forms of computing in order to continue the performance scaling that we have come to enjoy. Among the more salient…

Hardware Architecture · Computer Science 2020-09-16 Artur Podobas , Kentaro Sano , Satoshi Matsuoka

The increasing demands for computing performance have been a reality regardless of the requirements for smaller and more energy efficient devices. Throughout the years, the strategy adopted by industry was to increase the robustness of a…

Software Engineering · Computer Science 2019-05-07 Hugo Andrade , Ivica Crnkovic

The use of reconfigurable computing, and FPGAs in particular, to accelerate computational kernels has the potential to be of great benefit to scientific codes and the HPC community in general. However, whilst recent advanced in FPGA tooling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-06 Nick Brown , David Dolman

Overlays are virtual, re-configurable architectures that overlay on top of physical FPGA fabrics. An overlay that is specialized for an application, or a class of applications, offers both fast reconfiguration and minimized performance…

Programming Languages · Computer Science 2020-09-03 Hongbo Rong

Modern generations of field-programmable gate arrays (FPGAs) allow for partial reconfiguration. In an online context, where the sequence of modules to be loaded on the FPGA is unknown beforehand, repeated insertion and deletion of modules…

Hardware Architecture · Computer Science 2007-05-23 Jan van der Veen , Sandor P. Fekete , Ali Ahmadinia , Christophe Bobda , Frank Hannig , Juergen Teich

FPGAs are an attractive type of accelerator for all-purpose HPC computing systems due to the possibility of deploying tailored hardware on demand. However, the common tools for programming and operating FPGAs are still complex to use,…

Hardware Architecture · Computer Science 2022-09-12 Gabriel Rodriguez-Canal , Nick Brown , Yuri Torres , Arturo Gonzalez-Escribano

We propose a virtualization architecture for NoC-based reconfigurable systems. The motivation of this work is to develop a service-oriented architecture that includes Partial Reconfigurable Region as a Service (PRRaaS) and Processing…

Hardware Architecture · Computer Science 2015-08-31 Chun-Hsian Huang , Kwuan-Wei Tseng , Chih-Cheng Lin , Fang-Yu Lin , Pao-Ann Hsiung

In this survey paper, we review recent work on frameworks for the high-level, portable programming of heterogeneous multi-/manycore systems (especially, GPU-based systems) using high-level constructs such as annotated user-level software…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-14 Christoph Kessler , Usman Dastgeer , Lu Li

The growing complexity of computational workloads has amplified the need for efficient and specialized hardware accelerators. Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) have emerged as prominent solutions,…

Hardware Architecture · Computer Science 2025-11-11 Arnab A Purkayastha , Jay Tharwani , Shobhit Aggarwal

This paper presents an infrastructure to test the functionality of the specific architectures output by a high-level compiler targeting dynamically reconfigurable hardware. It results in a suitable scheme to verify the architectures…

Hardware Architecture · Computer Science 2011-11-09 Rui Rodrigues , Joao M. P. Cardoso

In various scenarios, achieving security between IoT devices is challenging since the devices may have different dedicated communication standards, resource constraints as well as various applications. In this article, we first provide…

Cryptography and Security · Computer Science 2017-09-20 Ruei-Hau Hsu , Jemin Lee , Tony Q. S. Quek , Jyh-Cheng Chen

The evolution of computer architecture has led to a paradigm shift from traditional single-core processors to multi-core and domain-specific architectures that address the increasing demands of modern computational workloads. This paper…

We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiability. We highlight their potential with a set of relevant…