Posts
May, 7
Improving the Programmability of GPU Architectures
Throughout the past decades, the tremendous growth of single-core performance has been the key-enabler for digital technology to become ubiquitous in our society. Recently, diminishing returns on Dennard scaling resulted in power dissipation issues, leading to reduced performance growth. Performance growth has since been re-enabled by multi-core processors as well as by exploiting the energy […]
May, 7
Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors
Throughput processors such as GPUs continue to provide higher peak arithmetic capability. Designing a high throughput memory system to keep the computational units busy is very challenging. Future throughput processors must continue to exploit data locality and utilize the on-chip and off-chip resources in the memory system more effectively to further improve the memory system […]
May, 7
Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration
Ultra-wideband (UWB) wireless systems have recently gained considerable attention as effective communications platforms with the properties of low power and high data rates. Applications of UWB such as wireless USB put size constraints on the antenna, however, which can be very difficult to meet using typical narrow band antenna designs. The aim of this thesis […]
May, 7
Parallel Solving Massive Linear Equations with CUDA
By consulting the state-of-the-art methods on massive linear equations solving and parallel computing, the main issue of calculation have been extracted from finite element method. The author test some solving routines on the CPU based as well as design and implement on GPU by using CUDA. The coalesced access result on GPU shows a ten […]
May, 7
Simultaneous Use of CPU and GPU to Real Time Inverted Index Updating in Microblogs
Nowadays, with attention to developing the different data networks, the wide masses of data are producing and updating continually. Managing the great data enumerate the fundamental challenges in data mining. One of the considered main subjects in this context is how searching among the wide masses of data. Therefore, require to producing the typical powerful, […]
May, 6
Accelerating Cryptosystems on Hardware Platforms
In the past decade, one of the major breakthroughs in computer science theory is the first construction of fully homomorphic encryption (FHE) scheme introduced by Gentry. Using a FHE one may perform an arbitrary numbers of computations directly on the encrypted data without revealing of the secret key. Therefore, a practical FHE provides an invaluable […]
May, 6
GPU-Accelerated Joint 1D and 2D Barcode Localization on Smartphones
The built-in cameras and powerful processors have turned smartphones into ubiquitous barcode scanners. In smartphone-based barcode scanning, barcode localization is an important preprocessing step that quickly scans the entire camera image and passes barcode candidates to the actual decoder. This paper presents the implementation steps of a robust joint 1D and 2D barcode localization algorithm […]
May, 6
Implementing an efficient method of check-pointing on CPU-GPU
In this paper, we describe the design, implementation, verification and analysis of providing fine-grained architectural support for efficient check-pointing and restart on a CPU-GPU heterogeneous system. We use Multi2sim, a simulator, capable of emulating a CPU-GPU system. The simulator is capable of emulating a 32 bit x86 CPU that launches OpenCl Kernels on the GPU […]
May, 6
Mimetic Methods for Lagrangian Relaxation of Magnetic Fields
We present a new code that performs a relaxation of a magnetic field towards a force-free state (Beltrami field) using a Lagrangian numerical scheme. Beltrami fields are of interest for the dynamics of many technical and astrophysical plasmas as they are the lowest energy states that the magnetic field can reach. The numerical method strictly […]
May, 6
Multireduce and Multiscan on Modern GPUs
With the introduction of platforms like CUDA and OpenCL, the superior computing power of modern GPUs compared to CPUs is used more and more often to accelerate general purpose computations. Data parallel primitives like reduce, scan or sort can be used as simple, deterministic building blocks for parallel algorithms, hiding the complexity of the underlying […]
May, 5
Computer vision for continuous plankton monitoring
Plankton microorganisms constitute the base of the marine food web and play a great role in global atmospheric carbon dioxide drawdown. Moreover, being very sensitive to any environmental changes they allow noticing (and potentially counteracting) them faster than with any other means. As such they not only influence the fishery industry but are also frequently […]
May, 5
Non-separable 2D, 3D and 4D filtering with CUDA
We have presented solutions for fast non-separable floating point convolution in 2, 3 and 4 dimensions, using the CUDA programming language. We believe that these implementations will serve as a complement to the NPP library, which currently only supports 2D filters and images stored as integers. The shared memory implementation with loop unrolling is approximately […]
