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Network Attached FPGAs in the OCT

Dana Diaconu is a PhD student, currently focusing on building and optimizing FPGA-based inference accelerators for 3D CNNs. She takes special interest in Hardware/Software co-design, FPGAs and heterogeneous architectures.

Research in Miriam E. Leeser's Reconfigurable and GPU Computing Laboratory (RCL) is centered on the use of hardware accelerators such as Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) for a wide variety of applications. Researchers in the lab seek to develop tools, libraries, and interfaces that make accelerators easier to use. Their work helps speed up wireless networking, IoT, medical imaging, security and privacy applications, in many cases taking theoretical algorithm advances and making them practically viable for the first time.

A key project is The Open Cloud Testbed (OCT) which seeks to construct and support a testbed for research and experimentation into new cloud platforms.

Dana Diaconu
PhD candidate in the RCL lab at Northeastern

Research projects

The US ATLAS Northeast Tier 2 Center
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
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Collaborative projects

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OUTREACH & EDUCATION PROJECTS

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