Loading…
August 19-20 | San Diego, CA
View More Details  & Register Here
avatar for Abdul Dakkak

Abdul Dakkak

UIUC
PhD Student
Abdul Dakkak is a PhD candidate in Computer Science at the University of Illinois at Urbana-Champaign (UIUC). He is a research assistant in the IMPACT Research Group working with Professor. Wen-mei Hwu. Abdul’s research interest are in functional programming languages and how they compile to accelerate single and multi-node systems. In the past Abdul has worked on distributed systems to understand relations in a text corpus, remote distributed evaluation for machine learning tasks, and developing libraries to aid in GPU programming. Abdul has been actively involved in teaching activities for heterogeneous and parallel programming. He has aided in teaching the Coursera HPP course (3 times), the introductory and advanced CUDA courses (2 times), and was involved in the PUMPS summer school at BSC (4 times). Recently Abdul has been developing MLModelScope, which is a distributed platform allowing people to easily deploy, profile, and experiment ML/DL frameworks and models. It allows ML/DL software developers to deploy their software packages, ML model developers to publish and evaluate their models, users to experiment with different models and frameworks, all through a web user interface or a REST API, and system architects to capture system resource usage to inform future system and hardware configuration. Abdul is the author of WebGPU which has been used for the past 5 years for teaching introductory and advanced CUDA courses, he is also the author of RAI -- a distributed job submission system.