high performance computing on graphics processing units: hgpu.org

Keyloggers are a prominent class of malware that harvests sensitive data by recording any typed in information. Keylogger implementations strive to hide their presence using rootkit-like techniques to evade detection by antivirus and other system protections. In this paper, we present a new approach for implementing a stealthy keylogger: we explore the possibility of leveraging […]

Over the last decade, there has been a growing interest in the use of graphics processing units (GPUs) for non-graphics applications. From early academic proof-of-concept papers around the year 2000, the use of GPUs has now matured to a point where there are countless industrial applications. Together with the expanding use of GPUs, we have […]

In many cases there is still a large gap between the performance of current optimization technology and the requirements of real world applications. As in the past, performance will improve through a combination of more powerful solution methods and a general performance increase of computers. These factors are not independent. Due to physical limits, hardware […]

In many cases there is still a large gap between the performance of current optimization technology and the requirements of real world applications. As in the past, performance will improve through a combination of more powerful solution methods and a general performance increase of computers. These factors are not independent. Due to physical limits, hardware […]

Recently, GPU libraries have made it easy to improve application performance by offloading computation to the GPU. However, using such libraries introduces the complexity of manually handling explicit data movements between GPU and CPU memory spaces. Unfortunately, when using these libraries with complex applications, it is very difficult to optimize CPU-GPU communication between multiple kernel […]

As a basic building block of many applications, sorting algorithms that efficiently run on modern machines are key for the performance of these applications. With the recent shift to using GPUs for general purpose compuing, researches have proposed several sorting algorithms for single-GPU systems. However, some workstations and HPC systems have multiple GPUs, and applications […]

MrBayes is model-based phylogenetic inference tool using Bayesian statistics. However, model-based assessment of phylogenetic trees adds to the computational burden of tree-searching, and so poses significant computational challenges. Graphics Processing Units (GPUs) have been proposed as high performance, low cost acceleration platforms and several parallelized versions of the Metropolis Coupled Markov Chain Mote Carlo (MC3) […]

Dataflow execution engines such as MapReduce, DryadLINQ, and PTask have enjoyed success because they simplify development for a class of important parallel applications. These systems sacrifice generality for simplicity: while many workloads are easily expressed, important idioms like iteration and recursion are difficult to express and support efficiently. We consider the problem of extending a […]

Translation models can be scaled to large corpora and arbitrarily-long phrases by looking up translations of source phrases on the fly in an indexed parallel text. However, this is impractical because on-demand extraction of phrase tables is a major computational bottleneck. We solve this problem by developing novel algorithms for general purpose graphics processing units […]

This paper presents privacy-preserving, parallel computing algorithms on a graphic processing unit (GPU) architecture to solve the Edit-Distance (ED) and the Smith-Waterman (SW) problems. The ED and SW problems are formulated into dynamic programming (DP) computing problems, which are solved using the Secure Function Evaluation (SFE) to meet privacy protection requirements, based on the semi-honest […]

Graphics processing units have massive parallel processing capabilities, and there is a growing interest in utilizing them for generic computing. One area of interest is computationally heavy computer vision algorithms, such as face detection and recognition. Face detection is used in a variety of applications, for example the autofocus on cameras, face and emotion recognition, […]

GPU computing is at the forefront of highperformance computing, and it has greatly affected current studies on parallel software and hardware design because of its massively parallel architecture. Therefore, numerous studies have focused on the utilization of GPUs in various fields. However, studies of GPU architectures are constrained by the lack of a suitable GPU […]