5 citations · 6 across the 5 of their papers we have counts for
5 papers
RIMMS: Runtime Integrated Memory Management System for Heterogeneous Computing
Serhan Gener, Aditya Ukarande, Shilpa Mysore Srinivasa Murthy +5
Efficient memory management in heterogeneous systems is increasingly challenging due to diverse compute architectures (e.g., CPU, GPU, FPGA) and dynamic task mappings not known at…
GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
Sahil Hassan, Michael Inouye, Miguel C. Gonzalez +4
Open-source simulation tools play a crucial role for neuromorphic application engineers and hardware architects to investigate performance bottlenecks and explore design optimizati…
A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic Architecture
Sahil Hassan, Parker Dattilo, Ali Akoglu
The Internet of Things infrastructure connects a massive number of edge devices with an increasing demand for intelligent sensing and inferencing capability. Such data-sensitive fu…
CEDR-API: Productive, Performant Programming of Domain-Specific Embedded Systems
Joshua Mack, Serhan Gener, Sahil Hassan +2
As the computing landscape evolves, system designers continue to explore design methodologies that leverage increased levels of heterogeneity to push performance within limited siz…
A Hardware-based HEFT Scheduler Implementation for Dynamic Workloads on Heterogeneous SoCs
Alexander Fusco, Sahil Hassan, Joshua Mack +1
Non-uniform performance and power consumption across the processing elements (PEs) of heterogeneous SoCs increase the computation complexity of the task scheduling problem compared…