Parallel Distributed Systems Lab

Lab News

2025: The Parallel Distributed Systems Laboratory continues active research in parallel computing, distributed systems, high-performance architectures, and AI-accelerated workloads, with a focus on scalability, performance, and real-world applications.
Student Research: Graduate and undergraduate students are currently engaged in projects spanning parallel architectures, machine learning systems, distributed storage, and performance evaluation on modern CPU and GPU platforms.
Facilities: The lab supports hands-on experimentation using multi-core servers, GPU-enabled systems, and cluster-based environments for coursework and research.
Teaching & Outreach: The laboratory actively supports advanced courses in Parallel & Distributed Systems, Computer Architecture, and High-Performance Computing, integrating research-driven learning.
Collaboration: Ongoing collaborations with faculty, industry partners, and research institutions support interdisciplinary work in scalable computing systems.

General News HPCwire Communications of the ACM	Applications ScienceDaily – Computing Google AI Blog	Developer Tools NVIDIA Developer Blog OpenJDK Project

Interconnects InfiniBand Trade Association HPCwire – Interconnects	Middleware Apache Kafka Blog gRPC Blog	Networks IETF – Internet Standards USENIX ;login:

Processors Intel Research AMD Technologies	Storage Ceph Storage News Storage Networking Industry Association	Systems TOP500 Supercomputers USENIX Systems Research

Visualization Khronos Group (OpenGL, Vulkan)	Academia arXiv – Distributed Computing Computing Research Association