Menu

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

Network Attached FPGAs in the OCT
AI That Speaks Human About Health
Wrangle Range Modeling
Building for Floods
Global Consequences of Warming-Induced Arctic River Changes
Simulating Large Biomolecular Assemblies
Exact Gravitational Lensing by Rotating Black Holes
Dexterous Robotic Hands
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

OUTREACH & EDUCATION PROJECTS

See ALL Scholarships
100 Bigelow Street, Holyoke, MA 01040