2 citations · 2 across the 1 of their papers we have counts for
4 papers
SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation
Behnam Khaleghi, Sahand Salamat, Anthony Thomas +3
Hyperdimensional computing (HD) is an emerging paradigm for machine learning based on the evidence that the brain computes on high-dimensional, distributed, representations of data…
Prive-HD: Privacy-Preserved Hyperdimensional Computing
Behnam Khaleghi, Mohsen Imani, Tajana Rosing
The privacy of data is a major challenge in machine learning as a trained model may expose sensitive information of the enclosed dataset. Besides, the limited computation capabilit…
FPGA Energy Efficiency by Leveraging Thermal Margin
Behnam Khaleghi, Sahand Salamat, Mohsen Imani +1
Cutting edge FPGAs are not energy efficient as conventionally presumed to be, and therefore, aggressive power-saving techniques have become imperative. The clock rate of an FPGA-ma…
Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms
Sahand Salamat, Behnam Khaleghi, Mohsen Imani +1
The continuous growth of big data applications with high computational and scalability demands has resulted in increasing popularity of cloud computing. Optimizing the performance…