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Todor Stefanov

Researcher at Leiden University

Publications -  111
Citations -  2483

Todor Stefanov is an academic researcher from Leiden University. The author has contributed to research in topics: Scheduling (computing) & MPSoC. The author has an hindex of 24, co-authored 102 publications receiving 2312 citations. Previous affiliations of Todor Stefanov include Delft University of Technology.

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Proceedings ArticleDOI

Optimization and deployment of CNNs at the edge: the ALOHA experience

TL;DR: ALOHA is presented, an integrated tool flow that tries to facilitate the design of DL applications and their porting on embedded heterogenous architectures and aims at automating different design steps and reducing development costs.
Proceedings ArticleDOI

ALOHA: an architectural-aware framework for deep learning at the edge

TL;DR: The ALOHA framework is described, that proposes a solution to the issue of effort and skills required to develop new DL models, or to adapt existing ones to new use-cases by means of an integrated tool flow that automates most phases of the development process.
Proceedings ArticleDOI

Efficient External Memory Interface for Multi-Processor Platforms Realized on FPGA Chips

TL;DR: A hierarchical memory system with a programmable controller to transfer data between external and on-chip memories using a DMA mechanism does not require arbitration which results in better overall performance.
Book ChapterDOI

System-Level Design Space Exploration of Dynamic Reconfigurable Architectures

TL;DR: A model is developed that can assist designers at the system-level DSE stage to explore the utilization of the reconfigurable resources and evaluate the relative impact of certain design choices and can be used to explore various design parameters by evaluating the system performance for different application-to-architecture mappings.

Y-Chart Based System Level Performance Analysis: An M-JPEG Case Study

TL;DR: This case study starts from a modified M-JPEG application and map this application onto a shared memory multi-processor architecture using Spade architecture and mapping languages.