Posts
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
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
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
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
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 […]
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, 15
International Conference on Image and Graphics Processing (ICIGP), 2018
Aiming at bringing together researchers and practitioners from academia and industry to exchange technical knowledge and boost technical and educational collaboration activities within the related fields of image and graphics processing, 2018 International Conference on Image and Graphics Processing (ICIGP 2018) will be held in Hong Kong during February 24-26, 2018. It is sponsored by […]
Jul, 15
8th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB), 2018
ICBBB conference series held annually to provide an interactive forum for presentation and discussion on Bioscience, Biochemistry and Bioinformatics. The conference welcomes participants from all over the world who are interested in developing professional ties to and/or exploring career opportunities in the region. The conference should serve as an ideal forum to establish relationships from […]