fpga.usc.edu
Prospective students
http://fpga.usc.edu/prospective.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. We constantly look for applicants with strong analytical background as PhD students. We expect the applicants to know analysis of algorithms and computer architecture. Familiarity with parallel computing and platforms such as FPGA/GPU is a big plus. Several current projects are described in Research Projects. Each research assistant will receive a competitive stipend plus paid tuition. As your intended program. Please...
fpga.usc.edu
Projects
http://fpga.usc.edu/Projects.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. Energy Efficient FPGA Design. Big Data Analytics on Heterogeneous Architectures. Viktor K. Prasanna. Professor of EE and CS. University of Southern California.
fpga.usc.edu
Publications of FPGA/Parallel Computing Lab
http://fpga.usc.edu/publications.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. Publications of FPGA/Parallel Computing Lab. Ren Chen, Viktor K. Prasanna,. Optimizing interconnection complexity for realizing fixed permutation in data and signal processing algorithms. IEEE International Conference on Field Programmable Logic and Applications (FPL '16), pp. 1-9, October 2016. Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna,. Ren Chen, Shreyas Singapura, Viktor K. Prasanna,. Compact Hash T...
fpga.usc.edu
FPGA/Parallel Processing Lab
http://fpga.usc.edu/index.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. Led by Professor Viktor K. Prasanna. Welcome to FPGA/Parallel Computing Lab! The FPGA/Parallel Computing Lab is focused on solving data, compute and memory intensive problems in the intersection of high speed network processing, data-intensive computing, and high performance computing. If you are interested to learn and work on Algorithms. Then consider joining our group. Energy Efficient FPGA Design. The paper "On-ch...
fpga.usc.edu
Big Data Analytics on Heterogeneous Architectures
http://fpga.usc.edu/bigdata.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. Big Data Analytics on Heterogeneous Architectures. Graph Analytics, Accelerating Database Operations. PageRank Implementation on FPGA. Large Scale Sorting on FPGA. Accelerate Database Operations on Heterogeneous Platform. Shijie Zhou, Charalampos Chelmis and Viktor K. Prasanna,. High-throughput and Energy-efficient Graph Processing on FPGA,. Ren Chen and Viktor K. Prasanna,. Optimizing Memory Performance for FPGA Impl...
fpga.usc.edu
People
http://fpga.usc.edu/people.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. Shreyas G. Singapura. Viktor K. Prasanna. Professor of EE and CS. University of Southern California.
halcyon.usc.edu
Professor Viktor Prasanna's Homepage
http://halcyon.usc.edu/~pk/prasannawebsite
VIKTOR K. PRASANNA. Charles Lee Powell Chair in Engineering. Director, Center for Energy Informatics. Director, Computer Engineering Division. Professor of Electrical Engineering, Computer Engineering Division. And Professor of Computer Science. Viktor K. Prasanna (V. K. Prasanna Kumar) is Charles Lee Powell Chair in Engineering. And is Professor of Electrical Engineering and Professor of Computer Science. At the University of Southern California ( USC. MS from the School of Automation. Prasanna has publ...
fpga.usc.edu
High-performance Data Plane Kernels for Software Defined Networking
http://fpga.usc.edu/sdn.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. High-performance Data Plane Kernels for Software Defined Networking. We are exploring novel solutions for SDN data plane kernels (e.g., large-scale IP lookup, multi-field packet classification) to achieve high performance. We also develop new techniques for network virtualization and data aggregation using hybrid trees and virtual engines to achieve high performance on various platforms. Packet classification is perfo...
fpga.usc.edu
Energy Efficient Computing on FPGAs
http://fpga.usc.edu/tapas.php
Energy Efficient Computing on FPGAs. Big Data Analytics on Heterogeneous Architectures. Energy Efficient Computing on FPGAs. The conventional processors such as CPUs consume large amount of energy and cannot be optimized to suit the target applications. On the other hand, GPUs are programmable, but consume even higher amount of energy. FPGAs offer a middle ground among the platforms with high programmability and energy efficiency without sacrificing the throughput of the application. As the scale of appl...
