Results 161 to 170 of about 4,239 (217)

ClarityTrack for multi object tracking via hierarchical association and environment specific cost matching. [PDF]

Sci Rep
Lee SE, Yang HS, Jung SH, Sim CB.
europepmc   +1 more source

Toward widespread use of virtual trials in medical imaging innovation and regulatory science. [PDF]

Med Phys
Abadi E, Barufaldi B, Lago M, Badal A, Mello-Thoms C, Bottenus N, Wangerin KA, Goldburgh M, Tarbox L, Beaucage-Gauvreau E, Frangi AF, Maidment A, Kinahan PE, Bosmans H, Samei E.   +14 more
europepmc   +1 more source

Trapezoidal back projection for positron emission tomography reconstruction. [PDF]

EJNMMI Phys
Varnyú D, Paczári K, Szirmay-Kalos L.
europepmc   +1 more source

Nematode serine protease inhibitor SPI-I8 negatively regulates host NF-κB signalling by hijacking MKRN1-mediated polyubiquitination of RACK1. [PDF]

Commun Biol
Wu F, Chen Y, Chen X, Tong D, Zhou J, Du Z, Yao C, Yang Y, Du A, Ma G.   +9 more
europepmc   +1 more source

GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation [PDF]

IEEE Transactions on Computers, 2015
Graphics processing units (GPU), due to their massive computational power with up to thousands of concurrent threads and general-purpose GPU (GPGPU) programming models such as CUDA and OpenCL, have opened up new opportunities for speeding up general-purpose parallel applications.
Zhibin Yu, Lieven Eeckhout, Nilanjan Goswami   +2 more
exaly   +3 more sources

A Closer Look at GPGPU [PDF]

ACM Computing Surveys, 2016
The lack of detailed white box illustration leaves a gap in the field of GPGPU (General-Purpose Computing on the Graphic Processing Unit), thus hindering users and researchers from exploring hardware potential while improving application performance. This article bridges the gap by demystifying the micro-architecture and operating mechanism of GPGPU ...
Si-Qing Zheng
exaly   +2 more sources

GPGPU Task Scheduling Technique for Reducing the Performance Deviation of Multiple GPGPU Tasks in RPC-Based GPU Virtualization Environments

Symmetry, 2021
In remote procedure call (RPC)-based graphic processing unit (GPU) virtualization environments, GPU tasks requested by multiple-user virtual machines (VMs) are delivered to the VM owning the GPU and are processed in a multi-process form. However, because
Jihun Kang, Heonchang Yu, Yu Heonchang   +2 more
exaly   +2 more sources

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Trivial Bypassing in GPGPUs

IEEE Embedded Systems Letters, 2021
This letter presents trivial bypassing to detect and skip execution of trivial instructions in general-purpose graphics processing units (GPGPUs). During the execution of a program, a significant number of instructions are trivial; that is, the instructions do not need functional units for execution.
openaire   +1 more source