Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework
Augmented Reality and Virtual Reality have emerged as the next frontier of intelligent image
sensors and computer systems. In these systems, 3D die stacking stands out as a …
sensors and computer systems. In these systems, 3D die stacking stands out as a …
DLA-E: a deep learning accelerator for endoscopic images classification
The super power of deep learning in image classification problems have become very
popular and applicable in many areas like medical sciences. Some of the medical …
popular and applicable in many areas like medical sciences. Some of the medical …
Real-time Blood Pressure Prediction on Wearables with Edge-Based DNNs: A Co-Design Approach
T Joseph, B TS - ACM Transactions on Design Automation of Electronic …, 2024 - dl.acm.org
This paper presents the hardware realization of a real-time blood pressure (BP) prediction
model for wearable devices, utilizing long short-term memory (LSTM) deep neural networks …
model for wearable devices, utilizing long short-term memory (LSTM) deep neural networks …
PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM
Processing-in-Memory (PIM) has evolved over decades into a feasible solution to
addressing the exacerbating performance bottleneck with main memory by placing …
addressing the exacerbating performance bottleneck with main memory by placing …
NDIE: A Near DRAM Inference Engine Exploiting DIMM's Parallelism
This work aims to design and integrate an inference accelerator in close proximity to the
bankgroups of a DIMM. To achieve this integration, we have devised a dataflow that …
bankgroups of a DIMM. To achieve this integration, we have devised a dataflow that …