16484

Posts

Sep, 5

Improving the Performance of the Contextual Spaces Re-Ranking Algorithm on Heterogeneous Systems

Re-ranking algorithms have been proposed to improve the effectiveness of Content-Based Image Retrieval (CBIR) systems by exploiting contextual information encoded in distance measures and ranked lists. In this paper, we show how we improved the efficiency of one of these algorithms, called Contextual Spaces Re-Ranking. We propose a modification to the algorithm that reduces its […]
Sep, 5

A Survey of Techniques for Architecting Processor Components using Domain Wall Memory

Recent trends of increasing core-count and bandwidth/memory-wall have motivated the researchers to explore novel memory technologies for designing processor components such as cache, register file, shared memory, etc. Domain wall memory (DWM), also known as racetrack memory, is a promising emerging technology due to its non-volatility and very high density. However, use of DWM presents […]
Sep, 3

Understanding the Impact of Hybrid Programming on Software Energy Efficiency

High performance computing systems today are heterogeneous in nature with multiple CPUs and accelerators/coprocessors in each computing node. The majority of today’s programs only utilize single computing components (e.g. a CPU, GPU or Xeon Phi) while leaving other components idle (e.g. waiting for the results to be calculated). This may not be optimal for either […]
Sep, 3

Matrix Computations and Optimization in Apache Spark

We describe matrix computations available in the cluster programming framework, Apache Spark. Out of the box, Spark provides abstractions and implementations for distributed matrices and optimization routines using these matrices. When translating single-node algorithms to run on a distributed cluster, we observe that often a simple idea is enough: separating matrix operations from vector operations […]
Sep, 3

Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs

Detecting higher-order epistatic interactions in Genome-Wide Association Studies (GWAS) remains a challenging task in the fields of genetic epidemiology and computer science. A number of algorithms have recently been proposed for epistasis discovery. However, they suffer from a high computational cost since statistical measures have to be evaluated for each possible combination of markers. Hence, […]
Sep, 3

Fast 4D Sheared Filtering for Interactive Rendering of Distribution Effects

Soft shadows, depth of field, and diffuse global illumination are common distribution effects, usually rendered by Monte Carlo ray tracing. Physically correct, noise-free images can require hundreds or thousands of ray samples per pixel, and take a long time to compute. Recent approaches have exploited sparse sampling and filtering; the filtering is either fast (axisaligned), […]
Sep, 3

DeepPy: Pythonic deep learning

This technical report introduces DeepPy – a deep learning framework built on top of NumPy with GPU acceleration. DeepPy bridges the gap between highperformance neural networks and the ease of development from Python/NumPy. Users with a background in scientific computing in Python will quickly be able to understand and change the DeepPy codebase as it […]
Aug, 31

Deep Learning on FPGAs

The recent successes of deep learning are largely attributed to the advancement of hardware acceleration technologies, which can accommodate the incredible growth of data sizes and model complexity. The current solution involves using clusters of graphics processing units (GPU) to achieve performance beyond that of general purpose processors (GPP), but the use of field programmable […]
Aug, 31

SafeGPU: Contract- and Library-Based GPGPU for Object-Oriented Languages

Using GPUs as general-purpose processors has revolutionized parallel computing by providing, for a large and growing set of algorithms, massive data-parallelization on desktop machines. An obstacle to their widespread adoption, however, is the difficulty of programming them and the low-level control of the hardware required to achieve good performance. This paper proposes a programming approach, […]
Aug, 31

Optimization of RAID Erasure Coding Algorithms for Intel Xeon Phi

In this work we describe and consider some features of implementing RAID erasure coding algorithms for Intel Xeon Phi coprocessor. We propose some algorithmic and technical improvements of encoding and decoding performance both in native and offload modes. Proposed approaches are designed to maximize the efficiency of Intel MIC architecture. We suggest new approach to […]
Aug, 31

A Performance Model and Optimization Strategies for Automatic GPU Code Generation of PDE Systems Described by a Domain-Specific Language

Stencil computations are a class of algorithms operating on multi-dimensional arrays also called grid functions (GFs), which update array elements using their nearest-neighbors. This type of computation forms the basis for computer simulations across almost every field of science, such as computational fluid dynamics. Its mostly regular data access patterns potentially enable it to take […]
Aug, 31

Flux tubes at Finite Temperature

We show the flux tubes produced by static quark-antiquark, quark-quark and quark-gluon charges at finite temperature. The sources are placed in the lattice with fundamental and adjoint Polyakov loops. We compute the square densities of the chromomagnetic and chromoelectric fields above and below the phase transition. Our results are gauge invariant and produced in pure […]
Page 5 of 889« First...34567...102030...Last »

* * *

* * *

TwitterAPIExchange Object
(
    [oauth_access_token:TwitterAPIExchange:private] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
    [oauth_access_token_secret:TwitterAPIExchange:private] => o29ji3VLVmB6jASMqY8G7QZDCrdFmoTvCDNNUlb7s
    [consumer_key:TwitterAPIExchange:private] => TdQb63pho0ak9VevwMWpEgXAE
    [consumer_secret:TwitterAPIExchange:private] => Uq4rWz7nUnH1y6ab6uQ9xMk0KLcDrmckneEMdlq6G5E0jlQCFx
    [postfields:TwitterAPIExchange:private] => 
    [getfield:TwitterAPIExchange:private] => ?cursor=-1&screen_name=hgpu&skip_status=true&include_user_entities=false
    [oauth:protected] => Array
        (
            [oauth_consumer_key] => TdQb63pho0ak9VevwMWpEgXAE
            [oauth_nonce] => 1475082424
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1475082424
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => fYj6EL+nH4mAOArQH+9wYFLLCvQ=
        )

    [url] => https://api.twitter.com/1.1/users/show.json
)
Follow us on Facebook
Follow us on Twitter

HGPU group

2001 peoples are following HGPU @twitter

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: