Abstract Emerging AI accelerators increasingly adopt wafer-scale integration, combining hundreds of thousands of cores with massive on-chip memory and ultra-high bandwidth. Yet, existing LLM inference systems—designed primarily for GPUs—cannot fully exploit this architecture. In this talk, I will present WaferLLM, the first LLM inference system designed specifically for wafer-scale accelerators. WaferLLM […]
Talks
4 posts
21 February 2024 Abstract Numerical software is being reinvented to provide opportunities to tune dynamically the accuracy of computation to the requirements of the application, resulting in savings of memory, time, and energy. Floating point computation in science and engineering has a history of “oversolving” relative to expectations for many models. So often are real datatypes defaulted to double […]
9 May 2025 Abstract As computing power demands continue to grow, achieving energy efficiency in high-performance systems has become a key challenge. One of the most promising software techniques for energy efficiency is Dynamic Voltage and Frequency Scaling (DVFS) which optimize the energy-performance trade-off by changing hardware frequencies. This presentation […]
28 August 2025 Abstract Constraint programming is a declarative way of solving hard combinatorial, scheduling, resource allocation, and logistics problems. We specify a problem in a high-level language, give it to a solver, and the solver thinks for a while and then gives us the optimal answer. Unfortunately, even the […]