Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Non-Instruction Fetch-Based Architecture Reduces Almost 100 Percent of the Dynamic Power and Energy
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Throughput analysis for a high-performance FPGA-accelerated real-time search application
International Journal of Reconfigurable Computing - Special issue on High-Performance Reconfigurable Computing
High throughput filtering using FPGA-acceleration
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Processing large volumes of information generally requires massive amounts of computational power, which consumes a significant amount of energy. An emerging challenge is the development of ``environmentally friendly'' systems that are not only efficient in terms of time, but also energy efficient. In this poster, we outline our initial efforts at developing greener filtering systems by employing Field Programmable Gate Arrays (FPGA) to perform the core information processing task. FPGAs enable code to be executed in parallel at a chip level, while consuming only a fraction of the power of a standard (von Neuman style) processor. On a number of test collections, we demonstrate that the FPGA filtering system performs 10-20 times faster than the Itanium based implementation, resulting in considerable energy savings.