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Posts

Dec, 20

A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling

Parallel computing provides efficient solutions for combinatorial optimization problem. However, since the communications among computing processes are rather cost-consuming, the actual parallel or distributed algorithm comes with substantial expenditures, such as, hardware, management, and maintenance. In this study, a parallel immune algorithm based on graphic processing unit (GPU) that originally comes to process the computer […]
Dec, 20

CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms

As neuroimaging algorithms and technology continue to grow faster than CPU performance in complexity and image resolution, data-parallel computing methods will be increasingly important. The high performance, data-parallel architecture of modern graphical processing units (GPUs) can reduce computational times by orders of magnitude. However, its massively threaded architecture introduces challenges when GPU resources are exceeded. […]
Dec, 20

A closer look at GPUs

As the line between GPUs and CPUs begins to blur, it’s important to understand what makes GPUs tick.
Dec, 20

Accelerating the Fourier split operator method via graphics processing units

Current generations of graphics processing units have turned into highly parallel devices with general computing capabilities. Thus, graphics processing units may be utilized, for example, to solve time dependent partial differential equations by the Fourier split operator method. In this contribution, we demonstrate that graphics processing units are capable to calculate fast Fourier transforms much […]
Dec, 19

FFT and Convolution Performance in Image Filtering on GPU

Many contemporary visualization tools comprise some image filtering approach. Since image filtering approaches are very computationally demanding, the acceleration using graphics-hardware (GPU) is very desirable to preserve interactivity of the main visualization tool itself. In this article we take a close look on GPU implementation of two basic approaches to image filtering -fast Fourier transform […]
Dec, 19

ATTILA: a cycle-level execution-driven simulator for modern GPU architectures

The present work presents a cycle-level execution-driven simulator for modern GPU architectures. We discuss the simulation model used for our GPU simulator, based in the concept of boxes and signals, and the relation between the timing simulator and the functional emulator. The simulation model we use helps to increase the accuracy and reduce the number […]
Dec, 19

SIMD Optimization of Linear Expressions for Programmable Graphics Hardware

The increased programmability of graphics hardware allows efficient GPU implementations of a wide range of general computations on commodity PCs. An important factor in such implementations is how to fully exploit the SIMD computing capacities offered by modern graphics processors. Linear expressions in the form of bar{y}= Abar{x}+ bar{b}, where A is a matrix, and […]
Dec, 19

Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering

The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose computations more than just image-processing and gaming applications. We explore the use of graphics processors (GPU) to speedup the computations involved in Fuzzy c-means (FCM). FCM is an […]
Dec, 19

Implementation of 802.11n on 128-CORE Processor

This article presents the results of a research in applying modern Graphics Processing Units in the field of telecommunications. The most recent Wireless Local Area Network protocol, 802.11n, was studied, as it introduces a significant increase of computational complexity. Taking into consideration the concept of Software Defined Radio, the implementation of PHY algorithms was devised […]
Dec, 19

GPU Acceleration of Particle-based Volume Rendering using CUDA

In this paper, we apply Particle-based Volume Rendering (PBVR) technique using a current programmable GPU architecture. Recently, the increasing programmability of GPU offers an efficient method of SIMD parallel algorithm to solve the speed problem. Due to the each point or pixel can be calculated independently, we use programmable graphics hardware to delegate all expensive […]
Dec, 19

GPU-based parallelization for fast circuit optimization

The progress of GPU (Graphics Processing Unit) technology opens a new avenue for boosting computing power. This work is an attempt to exploit GPU for accelerating VLSI circuit optimization. We propose GPU-based parallel computing techniques and apply them on simultaneous gate sizing and threshold voltage assignment, which is often employed in practice for performance and […]
Dec, 19

Particle-based volume rendering

In this paper, we introduce a novel point-based volume rendering technique based on tiny particles. In the proposed technique, a set of tiny opaque particles is generated from a given 3D scalar field based on a user-specified transfer function and the rejection method. The final image is then generated by projecting these particles onto the […]

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