MODELING EARLY VISION: PROBABILISTIC COMPUTATION USING SPIKING NEURONS, POPULATION CODES, AND CUDA by DANIEL

نویسنده

  • ROBERT COATES
چکیده

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Generation of optimal codes is a well known problem in coding theory. Many computational approaches exist in the literature for finding record breaking codes. However generating codes with long lengths n using serial algorithms is computationally very expensive, for example the worst case time complexity of a Greedy algorithm is O(n 4). In order to improve the efficiency of generating codes wit...

متن کامل

Parallelising Wavefront Applications on General-Purpose GPU Devices

Pipelined wavefront applications form a large portion of the high performance scientific computing workloads at supercomputing centres such as LANL in the United States and AWE in the United Kingdom. This paper investigates the viability of utilising graphics processing units (GPUs) for the acceleration of these codes, using NVIDIA’s Compute Unified Device Architecture (CUDA). Wavefront applica...

متن کامل

Multiscale Modeling of Heterogeneous Media Applying AEH to 3D Bodies

The Asymptotic Expansion Homogenization (AEH) is a multiscale technique applied to estimate effective properties of heterogeneous media with periodic structure. The main advantages of AEH are the reduction of the problem size and the ability to employ an homogenized property that keeps information from the heterogeneous microstructure. The aim of this work is to develop a parallel program that ...

متن کامل

1 2 Accelerating the discontinuous Galerkin method for seismic wave 3 propagation simulations using multiple GPUs with CUDA 4 and MPI 5

8 Abstract We have successfully ported an arbitrary high9 order discontinuous Galerkin method for solving the three10 dimensional isotropic elastic wave equation on unstruc11 tured tetrahedral meshes to multiple GPU using CUDA and 12 MPI and obtained a speedup factor of about 28.3 for the 13 single-precision version of our codes and a speedup factor 14 of about 14.9 for the double-precision ver...

متن کامل

Software-Based ECC for GPUs

Commodity off-the-shelf GPUs lack error checking mechanisms for graphics memory, whereas conventional HPC platforms have used hardware-based ECC for DRAMs. To alleviate this reliability concern, we propose a software-based ECC for GPGPU applications. We add small program codes to normal CUDA programs that compute ECCs for data residing in graphics memory so that transient bit-flips can be detec...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009