Results 181 to 190 of about 4,239 (217)

GPGPU for industrial control systems

2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA), 2013
In this work in progress paper we present parts of our ongoing work on using the Graphical Processing Unit (GPU) in the context of Embedded Systems. As a first step we are investigating the possibility to move functions from a Digital Signal Processor (DSP) to a GPU. If it is possible to make such a migration then it would simplify the hardware designs
Daniel Hallmans, Kristian Sandström, Markus Lindgren, Thomas Nolte   +3 more
openaire   +1 more source

The case for GPGPU spatial multitasking

IEEE International Symposium on High-Performance Comp Architecture, 2012
The set-top and portable device market continues to grow, as does the demand for more performance under increasing cost, power, and thermal constraints. The integration of Graphics Processing Units (GPUs) into these devices and the emergence of general-purpose computations on graphics hardware enable a new set of highly parallel applications.
Jacob Adriaens, Katherine Compton, Nam Sung Kim, Michael J. Schulte   +3 more
openaire   +1 more source

A Taxonomy of GPGPU Performance Scaling

2015 IEEE International Symposium on Workload Characterization, 2015
Graphics processing units (GPUs) range from small, embedded designs to large, high-powered discrete cards. While the performance of graphics workloads is generally understood, there has been little study of the performance of GPGPU applications across a variety of hardware configurations.
Abhinandan Majumdar, Gene Y. Wu, Kapil Dev, Joseph L. Greathouse, Indrani Paul, Wei Huang 0004, Arjun-Karthik Venugopal, Leonardo Piga, Chip Freitag, Sooraj Puthoor   +9 more
openaire   +1 more source

GPGPU as a Service

2016
Current data centers leverage virtual machines (VMs) in order to efficiently use hardware resources. VMs allow reducing equipment acquisition costs as well as decreasing overall energy consumption. However, although VMs have noticeably evolved to make a smart use of the underlying hardware, the use of GPUs (Graphics Processing Units) for General ...
Javier Prades, Fernando Campos, Carlos Reaño, Federico Silla   +3 more
openaire   +1 more source

Accelerating atomic operations on GPGPUs

2013 Seventh IEEE/ACM International Symposium on Networks-on-Chip (NoCS), 2013
General purpose computing on GPUs (GPGPU) has experienced rapid growth over the last several years as new application realms are explored and traditional highly parallel algorithms are adapted to this computational substrate. However, a large portion of the parallel workload space, both in emerging and traditional domains, remains ill-suited for GPGPU ...
Sean Franey, Mikko H. Lipasti
openaire   +1 more source

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2017
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Parallel cloth simulation with GPGPU

Multimedia Tools and Applications, 2018
In a 3D simulation, numerous physically and numerically related calculations are required to represent an object realistically. The existing CPU (central processing unit) technology, however, is incapable of handling such a large computational amount in real time.
Young-Hwan Choi, Min Hong, Yoo-Joo Choi
openaire   +1 more source

GPGPUs ECC efficiency and efficacy

2014 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014
In this paper we assess and discuss the efficiency and overhead of the Error-Correcting Code (ECC) mechanism available on modern GPGPUs, which are increasingly used for both High Performance Computing and safety-critical applications. Both the resilience to radiation-induced silent data corruption and functional interruption are experimentally and ...
Daniel A. G. de Oliveira, Paolo Rech, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Luigi Carro   +4 more
openaire   +1 more source

Unstructured Control Flow in GPGPU

2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2013
The current trend toward heterogeneous architectures motivates us to reconsider current software and hardware paradigms. The focus is centered around new parallel programming models, compiler design, and runtime resource management techniques to exploit the features of many-core processor architectures.
Rodrigo Dominguez, David R. Kaeli
openaire   +1 more source

FlexGrip: A soft GPGPU for FPGAs

2013 International Conference on Field-Programmable Technology (FPT), 2013
Over the past decade, soft microprocessors and vector processors have been extensively used in FPGAs for a wide variety of applications. However, it is difficult to straightforwardly extend their functionality to support conditional and thread-based execution characteristic of general-purpose graphics processing units (GPGPUs) without recompiling FPGA ...
Kevin Andryc, Murtaza Merchant, Russell Tessier   +2 more
openaire   +1 more source