Posts
Nov, 8
GooFit: A library for massively parallelising maximum-likelihood fits
Fitting complicated models to large datasets is a bottleneck of many analyses. We present GooFit, a library and tool for constructing arbitrarily-complex probability density functions (PDFs) to be evaluated on nVidia GPUs or on multicore CPUs using OpenMP. The massive parallelisation of dividing up event calculations between hundreds of processors can achieve speedups of factors […]
Nov, 8
Moving Least-Squares Reconstruction of Large Models with GPUs
Modern laser range scanning campaigns produce extremely large point clouds, and reconstructing a triangulated surface thus requires both out-of-core techniques and significant computational power. We present a GPU-accelerated implementation of the Moving Least Squares (MLS) surface reconstruction technique. While several previous out-of-core approaches use a sweep-plane approach, we subdivide the space into cubic regions that […]
Nov, 8
Computational kinetics of a large scale biological process on GPU workstations: DNA bending
It has only recently become possible to study the dynamics of large time scale biological processes computationally in explicit solvent and atomic detail. This required a combination of advances in computer hardware, utilization of parallel and special purpose hardware as well as numerical and theoretical approaches. In this work we report advances in these areas […]
Nov, 8
Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising
Shearlets have emerged in recent years as one of of the most successful methods for the multiscale analysis of multidimensional signals. Unlike wavelets, shearlets form a pyramid of well-localized functions defined not only over a range of scales and locations, but also over a range of orientations and with highly anisotropic supports. As a result, […]
Nov, 8
Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile
Modern embedded systems present an ever increasing complexity and model-driven engineering has been shown to be helpful in mitigating it. In our previous works we exploited the power of model-driven engineering to develop a round-trip approach for aiding the evaluation and assessment of extra-functional properties preservation from models to code. In addition, we showed how […]
Nov, 8
A Game Architecture Based on Multiple GPUs With Energy Management
The availability of multicore CPUs and programmable GPUs have risen the provision of processing power for applications. In case of games, this means increased scene realism and more sophisticated artificial intelligence and physics simulations, for example. However, using more power raises energy consumption and system temperature. Therefore, energy consumption and thermal management are research fields […]
Nov, 6
Many-core applications to online track reconstruction in HEP experiments
Interest in parallel architectures applied to real time selections is growing in High Energy Physics (HEP) experiments. In this paper we describe performance measurements of Graphic Processing Units (GPUs) and Intel Many Integrated Core architecture (MIC) when applied to a typical HEP online task: the selection of events based on the trajectories of charged particles. […]
Nov, 6
NaNet:a low-latency NIC enabling GPU-based, real-time low level trigger systems
We implemented the NaNet FPGA-based PCI2 Gen2 GbE/APElink NIC, featuring GPUDirect RDMA capabilities and UDP protocol management offloading. NaNet is able to receive a UDP input data stream from its GbE interface and redirect it, without any intermediate buffering or CPU intervention, to the memory of a Fermi/Kepler GPU hosted on the same PCIe bus, […]
Nov, 6
A new GPU-accelerated hydrodynamical code for numerical simulation of interacting galaxies
In this paper a new scalable hydrodynamic code GPUPEGAS (GPU-accelerated PErformance Gas Astrophysic Simulation) for simulation of interacting galaxies is proposed. The code is based on combination of Godunov method as well as on the original implementation of FlIC method, specially adapted for GPU-implementation. Fast Fourier Transform is used for Poisson equation solution in GPUPEGAS. […]
Nov, 6
Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems
We discuss an implementation of adaptive fast multipole methods targeting hybrid multicore CPU- and GPU-systems. From previous experiences with the computational profile of our version of the fast multipole algorithm, suitable parts are off-loaded to the GPU, while the remaining parts are threaded and executed concurrently by the CPU. The parameters defining the algorithm affects […]
Nov, 6
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU
We investigate and characterize the performance of an important class of operations on GPUs and Many Integrated Core (MIC) architectures. Our work is motivated by applications that analyze low-dimensional spatial datasets captured by high resolution sensors, such as image datasets obtained from whole slide tissue specimens using microscopy image scanners. We identify the data access […]
Nov, 6
Computer Graphics: From Pixels to Programmable Graphics Hardware
Computer Graphics: From Pixels to Programmable Graphics Hardware explores all major areas of modern computer graphics, starting from basic mathematics and algorithms and concluding with OpenGL and real-time graphics. It gives students a firm foundation in today’s high-performance graphics. UP-TO-DATE TECHNIQUES, ALGORITHMS, AND API: The book includes mathematical background on vectors and matrices as well […]
