We present an implementation of a channelizer (F-engine) running on Graphics Processing Unit (GPU). While not the first GPU channelizer, we have put significant effort into optimizing implementation. are able to process four antennas each with 2 Gsample/s, 10-bit dual-polarized input and 8-bit output, single commodity GPU. This fully utilizes available PCIe bandwidth The system is as optimized ...

We present a modified GPU (graphics processing unit) version of MrBayes, called ta(MC)(3) (GPU MrBayes V3.1), for Bayesian phylogenetic inference on protein data sets. Our main contributions are 1) utilizing 64-bit variables, thereby enabling ta(MC)(3) to process larger data sets than MrBayes; and 2) to use Kahan summation to improve accuracy, convergence rates, and consequently runtime. Versus...

Matrix size LS [s] VS [s] CUDA Solver [s] LS vs. CUDA VS vs. CUDA 16x3408 85.68 1.20 0.10 870.70 12.20 32x3472 348.92 2.36 0.41 851.02 5.76 64x360

We propose an efficient implementation of the Octagon Abstract Domain (OAD) on Graphics Processing Unit (GPU) by exploiting stream processing to speed-up OAD computations. OAD is a relational numerical abstract domain which approximates invariants as conjunctions of constraints of the form ±x±y <= c, where x and y are program variables and c is a constant which can be an integer, rational or re...

This paper deals the potential of parallel computing on graphics cards. In many applications we encounter time-consuming mathematical or general computing operations, which handle large amounts of data. One of these applications is artificial neural network. One solution to speed up such calculations is to get them done on a graphics card. Graphics cards with CUDA (Compute Unified Device Archit...

This paper presents a realization of the approach to spatial 3D stereo of visualization of 3D images with use parallel Graphics processing unit (GPU). The experiments of realization of synthesis of images of a 3D stage by a method of trace of beams on GPU with Compute Unified Device Architecture (CUDA) have shown that 60 % of the time is spent for the decision of a computing problem approximate...

Much of the current focus in high-performance computing is on multi-threading, multi-computing, and graphics processing unit (GPU) computing. However, vectorization and non-parallel optimization techniques, which can often be employed additionally, are less frequently discussed. In this paper, we present an analysis of several optimizations done on both central processing unit (CPU) and GPU imp...

Heterogeneous parallel computing has become an unavoidable consequence of the emergence of GeneralPurpose computing on graphics processing units (GPGPU). The characteristics of a Graphics Processing Unit (GPU)—including significant memory transfer latency and complex performance characteristics—demand new approaches to ensuring that all available computational resources are geared towards optim...

Face acknowledgment is a strategy which recognizes an individual in light of the profile or elements substance that individual. LBPH (Local Binary Patterns Histogram) to identify and perceive In LBP, first, some piece picture grayscale taken as 3×3 window size pixel worth neighborhood contrasted focal afterward twofold doled out then changed over decimal worth. LBP joined with histograms called...

A Helmholtz equation in two dimensions discretized by a second-order finite difference scheme is considered. Krylov subspace methods such as Bi-CGSTAB and IDR(s) have been chosen as solvers. Since the convergence of the Krylov solvers deteriorates with increasing wave number, a shifted Laplacian multigrid preconditioner is used to improve the convergence. The implementation of the preconditione...