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Posts

Jul, 23

International Conference on Intelligent Autonomous Systems (ICIAS), 2018

The conference will be held in Singapore during March 1-3, 2018. The theme of ICIAS2018 is “Frontier of intelligent autonomous systems”, reflecting the ever growing interests in research, development and applications in the dynamic and exciting areas of robotics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss […]
Jul, 23

International Conference on Robotics and Intelligent System (ICRIS), 2018

Publication All submissions will be peer reviewed 2-3 reviewers, and the accepted papers after registration will be published in the International Conference Proceedings Series by ACM, which will beindexed by Ei Compendex and Scopus. Submission ICRIS 2018 is now accepting manuscript submissions. Please submit your full paper to us: icris@academic.net
Jul, 22

Scalability Study of Deep Learning Algorithms in High Performance Computer Infrastructures

Deep learning algorithms base their success on building high learning capacity models with millions of parameters that are tuned in a data-driven fashion. These models are trained by processing millions of examples, so that the development of more accurate algorithms is usually limited by the throughput of the computing devices on which they are trained. […]
Jul, 22

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

Last several years, GPUs are used to accelerate computations in many computer science domains. We focused on GPU accelerated Support Vector Machines (SVM) training with non-linear kernel functions. We had searched for all available GPU accelerated C++ open-source implementations and created an open-source C++ benchmark project. We modifed all the implementations to run on actual […]
Jul, 22

GPU accelerated computation of Polarized Subsurface BRDF for Flat Particulate Layers

BRDF of most real world materials has two components, the surface BRDF due to the light reflecting at the surface of the material and the subsurface BRDF due to the light entering and going through many scattering events inside the material. Each of these events modifies light’s path, power, polarization state. Computing polarized subsurface BRDF […]
Jul, 22

Parallelization of an Unsteady ALE Solver with Deforming Mesh Using OpenACC

This paper presents a parallel, GPU-based, deforming mesh-enabled unsteady numerical solver for solving moving body problems by using OpenACC. Both the 2D and 3D parallel algorithms based on spring-like deforming mesh methods are proposed and then implemented through OpenACC programming model. Furthermore, these algorithms are coupled with an unstructured mesh based, implicit time scheme integrated […]
Jul, 22

Automatically Selecting Profitable Thread Block Sizes Using Machine Learning

Graphics processing units (GPUs) provide high performance at low power consumption as long as resources are well utilized. Thread block size is one factor in determining a kernel’s occupancy, which is a metric for measuring GPU utilization. A general guideline is to find the block size that leads to the highest occupancy. However, many combinations […]
Jul, 19

Termination Analysis for GPU Kernels

We describe a thread-modular technique for proving termination of massively parallel GPU kernels. The technique reduces the termination problem for these kernels to a sequential termination problem by abstracting the shared state, and as such allows us to leverage termination analysis techniques for sequential programs. An implementation in KITTeL is able to show termination of […]
Jul, 19

Parallelization and Performance of the NIM Weather Model on CPU, GPU and MIC Processors

Next-generation super-computers containing millions of processors will require weather prediction models be designed and developed by teams of scientists, software engineers, and parallelization experts so they are portable and run efficiently on increasingly diverse HPC systems. The design and performance of the NIM global weather prediction model is described. NIM is a dynamical core designed […]
Jul, 19

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

We develop and implement a concurrent dictionary data structure based on the Log Structured Merge tree (LSM), suitable for current massively parallel GPU architectures. Our GPU LSM is dynamic (mutable) in that it provides fast updates (insertions and deletions). For example, on an NVIDIA K40c GPU we can get an average update rate of 225 […]
Jul, 19

Fine-Grain Acceleration of Graph Algorithms on a Heterogeneous Chip

With the rise of heterogeneous chips available in the market, where integrated GPU cores and CPU cores reside in the same chip and share a unified memory, it is possible to have better execution schemes for many graph algorithms. Graph algorithms can exhibit producer-consumer behavior, a varying amount of parallelism during execution, and irregularity which […]
Jul, 19

Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression

We present high performance implementations of the QR and the singular value decomposition of a batch of small matrices hosted on the GPU with applications in the compression of hierarchical matrices. The one-sided Jacobi algorithm is used for its simplicity and inherent parallelism as a building block for the SVD of low rank blocks using […]
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