2019 NOVEL APPROACHES TO LARGE SCALE SCIENTIFIC COMPUTING

• Between TensorFlow, particularly the TPU chips, limited precision arithmetic, more mathematics for program construction and data modeling, I believe there are opportunities for dramatic improvements for some grand challenge compute problems.

2018- MACHINE LEARNING

• Applications of Machine Learning to simulation Physics Equations

• Use of TensorFlow for High Performance Computing

• Interpretability of ML models

2018- LIMITED PRECISION AND NUMBER FORMATS FOR SKA

• The role of floating point number formats and precision for SKA compute pipelines. We expect this can dramatically reduce the requirement for bandwidth.

2017- SOFTWARE FOR NEW MEMORY TECHNOLOGIES

• Concepts in programming languages and runtimes related to persistent and hybrid memory.

• Automatic and intelligent control of caches.

2014- HARDWARE AND SOFTWARE FOR PARALLEL PROGRAMMING

• Geometric underpinnings of efficient parallel algorithms, such as network topologies and data organization