FPGA/Parallel Computing Lab

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.

We are exploring novel algorithmic optimizations and algorithm-architecture mappings to optimize performance of parallel and heterogeneous architectures including Field-Programmable Gate Arrays (FPGA), general purpose multi-core (CPU) and graphics (GPU) processors.

If you are interested to learn and work on Algorithms and Architectures, then consider joining our group.


Solving Data, Compute and Memory Intensive Problems

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Next Generation Networks

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Energy Efficient FPGA Design

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Big Data Analytics on Heterogeneous Architectures

Large scale Graph Analytics on the edge