Estimating numerical error in neural network simulations on Graphics Processing Units

نویسندگان
چکیده

برای دانلود رایگان 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

Line-by-line spectroscopic simulations on graphics processing units

We report here on software that performs line-by-line spectroscopic simulations on gases. Elaborate models (such as narrow band and correlated-K) are accurate and efficient for bands where various components are not simultaneously and significantly active. Line-by-line is probably the most accurate model in the infrared for blends of gases that contain high proportions of H2O and CO2 as this wa...

متن کامل

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

Article history: Received 8 February 2010 Received in revised form 12 March 2011 Accepted 15 May 2011 Available online 18 May 2011

متن کامل

Large-scale ferrofluid simulations on graphics processing units

We present an approach to molecular-dynamics simulations of ferrofluids on graphics processing units (GPUs). Our numerical scheme is based on a GPU-oriented modification of the Barnes–Hut (BH) algorithm designed to increase the parallelism of computations. For an ensemble consisting of a million ferromagnetic particles, the performance of the proposed algorithm on a Tesla M2050 GPU demonstrated...

متن کامل

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Finite volume numerical methods have been widely studied, implemented and parallelized on multiprocessor systems or on clusters. Modern graphics processing units (GPU) provide architectures and new programing models that enable to harness their large processing power and to design computational fluid dynamics simulations at both high performance and low cost. We report on solving the 2D compres...

متن کامل

Cofactorization on Graphics Processing Units

We show how the cofactorization step, a compute-intensive part of the relation collection phase of the number field sieve (NFS), can be farmed out to a graphics processing unit. Our implementation on a GTX 580 GPU, which is integrated with a state-of-the-art NFS implementation, can serve as a cryptanalytic co-processor for several Intel i7-3770K quad-core CPUs simultaneously. This allows those ...

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: BMC Neuroscience

سال: 2015

ISSN: 1471-2202

DOI: 10.1186/1471-2202-16-s1-p182