Latest News/Update - March 2017

Xin Fang presented our research on "Secure Function Evaluation using an FPGA Overlay Architecture" at FPGA2017 . This research is funded by Google.

The latest version of the VFLOAT floating point library Open-Source Variable-Precision Floating-Point Library for Major Commercial FPGAs, has been published in ACM Transactions on Reconfigurable Technology and Systems (TRETS), September 2016. The newest version of the VFLOAT variable precision floating point library includes these designs.

Field Programmable Gate Array

Field Programmable Gate

Instructions for building one :)

Acceleration of Algorithms using FPGAs and GPUs

Research in the Reconfigurable and GPU Computing Laboratory (RCL) investigates the use of Accelerators such as Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) for scientific applications. Our interest is in developing libraries and interfaces that make acceleration easier to use. In GPU research, we are investigating how best to take advantage of GPUs from common programming environments such as Matlab and SCIRun. We are also looking at Tasks and Conduits as a mechanism for mapping the same application to several different target hardware platforms.

Our FPGA projects include using OpenCPI as a component model for FPGA research. In addition, we have developed a widely used variable precision floating point library (VFLOAT). In the lab we use a combination of research and commercial tools, as well as the software and hardware needed to map designs onto field programmable logic.

Reconfigurable and GPU Computing Lab Links

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Funding and Donations

Research Funding in The RCL comes from:

We would like to thank the companies who donate hardware and software to the RCL: