Parallelizing Network Coding on Manycore GPU-Accelerated System with Optimization

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards dense linear algebra for hybrid GPU accelerated manycore systems

0167-8191/$ see front matter 2010 Elsevier B.V doi:10.1016/j.parco.2009.12.005 * Corresponding author. Tel.: +1 865 974 8295; fa E-mail addresses: [email protected] (S. Tomov We highlight the trends leading to the increased appeal of using hybrid multicore + GPU systems for high performance computing. We present a set of techniques that can be used to develop efficient dense linear algebra alg...

متن کامل

GPU-accelerated join-order optimization

Join-order optimization is an important task during query processing in DBMSs. The execution time of different join orders can vary by several orders of magnitude. Hence, efficient join orders are essential to ensure the efficiency of query processing. Established techniques for join-order optimization pose a challenge for current hardware architectures, because they are mainly sequential algor...

متن کامل

Parallelizing Apriori Algorithm on GPU

Parallel computing is a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently. Now Graphics Processing Unit (GPU) has taken a major role in high performance computing for generic applications. Compute Unified Device Architecture (CUDA) programming mo...

متن کامل

GPU accelerated biochemical network simulation

MOTIVATION Mathematical modelling is central to systems and synthetic biology. Using simulations to calculate statistics or to explore parameter space is a common means for analysing these models and can be computationally intensive. However, in many cases, the simulations are easily parallelizable. Graphics processing units (GPUs) are capable of efficiently running highly parallel programs and...

متن کامل

7.4 Runtime memory optimization and GPU/manycore architectures

Manufacturing-time process (P) variations and runtime variations in voltage (V) and temperature (T) can affect a DRAM's performance (internal delays) severely. To counter the effects of these variations, DRAM vendors provide substantial design-time PVT margins to guarantee correct DRAM functionality under worst-case conditions. Unfortunately, with technology scaling these design margins have be...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Procedia Engineering

سال: 2011

ISSN: 1877-7058

DOI: 10.1016/j.proeng.2011.08.574