Architectures and APIs: Assessing Requirements for Delivering FPGA Performance to Applications
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International Journal of Electronics
Network intrusion detection systems (NIDS) are critical network security tools that help protect computer installations from malicious users. Traditional software-based NIDS architectures are becoming strained as network data rates increase and attacks intensify in volume and complexity. In recent years, researchers have proposed using FPGAs to perform the computationally-intensive components of intrusion detection analysis. In this work, we present a new NIDS architecture that integrates the network interface hardware and packet analysis hardware into a single FPGA chip. This integration enables a higher performance and more flexible NIDS platform. To demonstrate the benefits of this technique, we have implemented a complete and functional NIDS in a Xilinx Virtex II Pro FPGA that performs in-line packet analysis and filtering on multiple Gigabit Ethernet links using rules from the open-source Snort attack database. © 2006 Taylor & Francis Group, LLC.
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Proposed for publication in the International Journal of Electronics.
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Visualization in scientific computing refers to the process of transforming data produced by a simulation into graphical representations that help scientific users interpret the results. While the back-end rendering phase of this work can be performed efficiently in graphics card hardware, the front-end 'post processing' portion of visualization is currently performed entirely in software. Field-Programmable Gate Arrays (FPGAs) are an attractive option for accelerating post-processing operations because they enable users to offload computations into reconfigurable hardware. A key challenge in utilizing FPGAs for this work is developing an infrastructure that allows FPGAs to be integrated into a distributed visualization system. We propose a networked approach, where each post-processing FPGA is equipped with specialized network interface (NI) hardware that is capable of transporting graphics commands across the network to existing rendering resources. In this paper we discuss a NI for FPGAs that is comprised of a Chromium OpenGL interface, a TCP Offload Engine, and a Gigabit Ethernet module. A prototype system has been tested for a distributed isosurfacing application.
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