Domain Specialization
Scaling performance beyond Moore’s law Domain specialization is expected to play a big role in how computer systems evolve in future. With the end of Moore’s law, we are already seeing CPU, GPU and domain specific hardware evolving rapidly. The next decade is therefore expected to see big changes in how we develop, compile and run software. This project focuses on data systems, a class of systems where, as the data sizes grow, performance scaling is going to be of…
Efficient and hardware-friendly neural architecture search with SpaceEvo
A persistent challenge in deep learning is optimizing neural network models for diverse hardware configurations, balancing performance and low latency. Learn how SpaceEvo automates hardware-aware neural architecture search to fine-tune DNN models for swift execution…
AI Infrastructure
Towards efficient AI/ML deployment The AI Infrastructure team at Microsoft Research India works on cutting-edge systems optimizations for improving the efficiency of a variety of AI/ML workloads, including an emerging class of workloads, namely, serving large…
OPPerTune
Post-Deployment Configuration Tuning of Services Made Easy Real-world application deployments have hundreds of inter-dependent configuration parameters, many of which significantly influence performance and efficiency. With today’s complex and dynamic services, operators need to continuously monitor…