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A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data

100%

Niewiadomska-Szynkiewicz E. , Marks M. , Jantura J. , Podbielski M.

Journal of Telecommunications and Information Technology

2012

tom nr 3

32-39

The main advantage of a distributed computing system over standalone computer is an ability to share the workload between cores, processors and computers. In our paper we present a hybrid cluster system - a novel computing architecture with multi-core CPUs working together with many-core GPUs. It integrates two types of CPU, i.e., Intel and AMD processor with advanced graphics processing units, adequately, Nvidia Tesla and AMD FirePro (formerly ATI). Our CPU/GPU cluster is dedicated to perform massive parallel computations which is a common approach in cryptanalysis and cryptography. The efficiency of parallel implementations of selected data encryption and decryption algorithms are presented to illustrate the performance of our system.

Real-time Ray Tracing w kontekście nowych technologii procesorów

100%

Jantura J. , Kurczyna K. , Sapiecha K.

Zeszyty Naukowe Politechniki Świętokrzyskiej. Elektryka

2005

tom Z. 43

73-78

Ray Tracing jako metoda wizualizacji w grafice 3D doskonale nadaje się do generacji obrazów fotorealistycznych. W świetle nowych technologii, uzasadniona wydaje się, ponowna analiza algorytmów związanych z ray tracingiem oraz próba odpowiedzi na pytanie, czy rozwiązania zastosowane w procesorach 64-bitowych oraz wielordzeniowych umożliwią implementację raytracerów działających w czasie rzeczywistym na pojedynczych maszynach. W pracy zostaną zebrane i porównane informacje pozwalające sformułować obiektywną odpowiedź na postawione powyżej pytanie.

Ray tracing is almost perfect solution for photorealistic graphics. However, despite its low complexity ray tracing requires very high processing power. Previously it was assumed that for interactive frame rates a raytracer must ran on a supercomputer or be distributed over a cluster. Now, PCs offer some new capabilities like fast FPUs, caching, multithreading, pipelining and multicoring. So the question whether or not real-time raytracer can run on a PC should be answered. In this paper an approach to develop such PC-based raytracer is given and evaluated so that the above question is answered.

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

88%

Marks M. , Jantura J. , Niewiadomska-Szynkiewicz E. , Strzelczyk P. , Góźdź K.

Computer Science

2012

tom Vol. 13 (2)

63-79

This paper addresses issues associated with distributed computing systems and the application of mixed GPU&CPU technology to data encryption and decryption algorithms. We describe a heterogenous cluster HGCC formed by two types of nodes: Intel processor with NVIDIA graphics processing unit and AMD processor with AMD graphics processing unit (formerly ATI), and a novel software framework that hides the heterogeneity of our cluster and provides tools for solving complex scientific and engineering problems. Finally, we present the results of numerical experiments. The considered case study is concerned with parallel implementations of selected cryptanalysis algorithms. The main goal of the paper is to show the wide applicability of the GPU&CPU technology to large scale computation and data processing.