Parallel Firewalls on General-Purpose Graphics Processing Units

Acceleration of IPTABLES Linux Packet Filtering using GPGPU

Firewalls are a piece of software or hardware that control access to organization networks. Packet filtering is placed in the heart of firewalls. It is performed by comparing each data packet against a rule set. In the high bandwidth networks, filtering becomes a time consuming task. In this situation, the packet filtering firewall can reduce the overall throughput and become a bottleneck. To s...

General Purpose Computation on Graphics Processing Units ( GPGPU ) using CUDA within the seminar Parallel Programming and Parallel Algorithms ( Winter Term 2009 / 2010 )

Investigating the Effects of Hardware Parameters on Power Consumptions in SPMV Algorithms on Graphics Processing Units (GPUs)

Although Sparse matrix-vector multiplication (SPMVs) algorithms are simple, they include important parts of Linear Algebra algorithms in Mathematics and Physics areas. As these algorithms can be run in parallel, Graphics Processing Units (GPUs) has been considered as one of the best candidates to run these algorithms. In the recent years, power consumption has been considered as one of the metr...

General-purpose Graphics Processing Units Deliver New Capabilities to the Embedded Market

Today’s graphics processors are highly programmable, massively parallel compute engines. With the development of open, industry standards, parallel programming languages such as OpenCLTM and the continued evolution of heterogeneous computing, general-purpose graphics processing units (GPGPUs) offer exciting new capabilities for the embedded market. This paper examines some of the industry facto...

Efficient Probabilistic Model Checking on General Purpose Graphics Processors

We present algorithms for parallel probabilistic model checking on general purpose graphic processing units (GPGPUs). For this purpose we exploit the fact that some of the basic algorithms for probabilistic model checking rely on matrix vector multiplication. Since this kind of linear algebraic operations are implemented very efficiently on GPGPUs, the new parallel algorithms can achieve consid...