A survey of CPU-GPU heterogeneous computing techniques
As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …
acknowledged that both of these Processing Units (PUs) have their unique features and …
A survey on convolutional neural network accelerators: GPU, FPGA and ASIC
Y Hu, Y Liu, Z Liu - 2022 14th International Conference on …, 2022 - ieeexplore.ieee.org
In recent years, artificial intelligence (AI) has been under rapid development, applied in
various areas. Among a vast number of neural network (NN) models, the convolutional …
various areas. Among a vast number of neural network (NN) models, the convolutional …
[PDF][PDF] The Chinese Wall Security Policy.
DFC Brewer, MJ Nash - S&P, 1989 - facweb.iitkgp.ac.in
Everyone who has seen the movie Wall Street will have seen a commercial security policy in
action. The recent work of Clark and Wilson and the WIPCIS initiative (the Workshop on …
action. The recent work of Clark and Wilson and the WIPCIS initiative (the Workshop on …
Efficient sparse matrix-vector multiplication on GPUs using the CSR storage format
JL Greathouse, M Daga - SC'14: Proceedings of the …, 2014 - ieeexplore.ieee.org
The performance of sparse matrix vector multiplication (SpMV) is important to computational
scientists. Compressed sparse row (CSR) is the most frequently used format to store sparse …
scientists. Compressed sparse row (CSR) is the most frequently used format to store sparse …
Exploring simd for molecular dynamics, using intel® xeon® processors and intel® xeon phi coprocessors
SJ Pennycook, CJ Hughes… - 2013 IEEE 27th …, 2013 - ieeexplore.ieee.org
We analyse gather-scatter performance bottlenecks in molecular dynamics codes and the
challenges that they pose for obtaining benefits from SIMD execution. This analysis informs …
challenges that they pose for obtaining benefits from SIMD execution. This analysis informs …
High performance and scalable radix sorting: A case study of implementing dynamic parallelism for GPU computing
D Merrill, A Grimshaw - Parallel Processing Letters, 2011 - World Scientific
The need to rank and order data is pervasive, and many algorithms are fundamentally
dependent upon sorting and partitioning operations. Prior to this work, GPU stream …
dependent upon sorting and partitioning operations. Prior to this work, GPU stream …
[HTML][HTML] In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging
C Qi, M Sandroni, JC Westergaard… - … and Electronics in …, 2023 - Elsevier
Effective detection of potato late blight (PLB) is an essential aspect of potato cultivation.
However, it is a challenge to detect late blight in asymptomatic biotrophic phase in fields with …
However, it is a challenge to detect late blight in asymptomatic biotrophic phase in fields with …
An investigation of unified memory access performance in cuda
Managing memory between the CPU and GPU is a major challenge in GPU computing. A
programming model, Unified Memory Access (UMA), has been recently introduced by Nvidia …
programming model, Unified Memory Access (UMA), has been recently introduced by Nvidia …
On the efficacy of a fused CPU+ GPU processor (or APU) for parallel computing
The graphics processing unit (GPU) has made significant strides as an accelerator in
parallel computing. However, because the GPU has resided out on PCIe as a discrete …
parallel computing. However, because the GPU has resided out on PCIe as a discrete …
A GPU implementation of inclusion-based points-to analysis
Graphics Processing Units (GPUs) have emerged as powerful accelerators for many regular
algorithms that operate on dense arrays and matrices. In contrast, we know relatively little …
algorithms that operate on dense arrays and matrices. In contrast, we know relatively little …