Posts
Jul, 5
Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity
Despite numerous efforts for optimizing the performance of Sparse Matrix and Vector Multiplication (SpMV) on modern hardware architectures, few works are done to its sparse counterpart, Sparse Matrix and Sparse Vector Multiplication (SpMSpV), not to mention dealing with input vectors of varied sparsity. The key challenge is that depending on the sparsity levels, distribution of […]
Jul, 5
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing
In this paper, we present Ginkgo, a modern C++ math library for scientific high performance computing. While classical linear algebra libraries act on matrix and vector objects, Ginkgo’s design principle abstracts all functionality as "linear operators", motivating the notation of a "linear operator algebra library". Ginkgo’s current focus is oriented towards providing sparse linear algebra […]
Jun, 30
The Fifth International Workshop on GPU Computing and AI (GCA), 2020
==================================================== The Fifth International Workshop on GPU Computing and AI (GCA’20) to be held in conjunction with The Eighth International Symposium on Computing and Networking (CANDAR’20),Naha, Okinawa, Japan, November 24-27, 2020 ==================================================== Special announcement regarding COVID-19 situation– Although we are still working with the possibility of having physical meetings for CANDAR 2020 as planned, the […]
Jun, 30
2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021
★ 2021 2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA 2021) — Ei Compendex & Scopus — Call for paperJanuary 13-15, 2021｜Shenzhen, China ★ Venue: Hilton Garden Inn Shenzhen Bao’an, Shenzhen, ChinaJust off G107, the Hilton Garden Inn Shenzhen Bao’an is inside the Xihuicheng Shopping Plaza in the center of the Bao’an […]
Jun, 30
International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020
★ 2020 International Conference on Cyber Physical Systems and IoT(CPSIOT 2020) — Ei Compendex & Scopus — Call for papersDecember 14-16, 2020｜Bangkok, Thailand ★ CPSIOT 2020 presents researchers, engineers, and academics with an unprecedented opportunity to associate and interact with some of the foremost experts in the field of Cyber Physical Systems and IoT from […]
Jun, 30
International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020
★ 2020 International Conference on Wireless Networks and Embedded Systems (ICWNES 2020) — Ei Compendex & Scopus — Call for paperDecember 14-16, 2020｜Bangkok, Thailand ★ Researchers, scientists, engineers and industry professionals will join together this year at ICWNES 2020, where the latest research will be unveiled and groundbreaking research projects will be presented. The field […]
Jun, 30
International Joint Conference on Signals, Systems and Computers (CSSC’20), 2020
★ 2020 International Joint Conference on Signals, Systems and Computers (CSSC 2020) — Ei Compendex & Scopus — Call for papersDecember 14-16, 2020｜Bangkok, Thailand ★ 2020 International Joint Conference on Signals, Systems and Computers (CSSC 2020) will be held in Bangkok, Thailand. From keynote lectures by internationally recognized academics and leading experts, to a forum […]
Jun, 28
Performance benchmarking of deep learning framework on Intel Xeon Phi
With the success of deep learning (DL) methods in diverse application domains, several deep learning software frameworks have been proposed to facilitate the usage of these methods. By knowing the frameworks which are employed in big data analysis, the analysis process will be more efficient in terms of time and accuracy. Thus, benchmarking DL software […]
Jun, 28
GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices
Matrix-free solvers for finite element method (FEM) avoid assembly of elemental matrices and replace sparse matrix-vector multiplication required in iterative solution method by an element level dense matrix-vector product. In this paper, a novel matrix-free strategy for FEM is proposed which computes element level matrix-vector product by using only the symmetric part of the elemental […]
Jun, 28
Sparse GPU Kernels for Deep Learning
Scientific workloads have traditionally exploited high levels of sparsity to accelerate computation and reduce memory requirements. While deep neural networks can be made sparse, achieving practical speedups on GPUs is difficult because these applications have relatively moderate levels of sparsity that are not sufficient for existing sparse kernels to outperform their dense counterparts. In this […]
Jun, 28
Preparing Ginkgo for AMD GPUs – A Testimonial on Porting CUDA Code to HIP
With AMD reinforcing their ambition in the scientific high performance computing ecosystem, we extend the hardware scope of the Ginkgo linear algebra package to feature a HIP backend for AMD GPUs. In this paper, we report and discuss the porting effort from CUDA, the extension of the HIP framework to add missing features such as […]
Jun, 28
Automatic Kernel Generation for Volta Tensor Cores
A commonly occurring computation idiom in neural networks is to perform some pointwise operations on the result of a matrix multiplication. Such a sequence of operations is typically represented as a computation graph in deep learning compilers. When compiling to a GPU target, these computations can be individually mapped to manually tuned implementations provided by […]
