James A. Ang, Ph.D.
Chief Scientist for Computing
Physical & Computational Sciences Directorate
DOE-SC/ASCR Sector Lead
Pacific Northwest National Laboratory (PNNL)
Richland, Washington, USA
James “Jim” Ang, Ph.D. is the Chief Scientist for Computing in the Physical and Computational Sciences Directorate at Pacific Northwest National Laboratory (PNNL). Dr. Ang serves as PNNL’s sector lead for the United States Department of Energy’s (DOE) Advanced Scientific Computing Research (ASCR) Office.
His responsibilities include providing the lab with senior leadership on the future of computing. In 2019, he established and became the lead of the Data-Model Convergence (DMC) LDRD Initiative, a lab-wide 5 year investment to develop new computer science capabilities that support integration of scientific high performance computing and data analytics computing paradigms. Since joining PNNL, Jim has provided scientific and technical leadership for a number of multi-disciplinary workshops that seek to define long term R&D strategies for “post-Moore’s Law” microelectronics. Jim’s previous connections to other U.S. government agencies transferred to PNNL with him and has led to PNNL and Jim’s continued engagement in several national security programs.
Prior to joining PNNL, Jim served as a member of the initial DOE Exascale Computing Project (ECP) leadership team from 2015-2017. Jim was the Director of ECP’s hardware technology focus area, and his primary role and responsibility was the development and definition of the DOE ECP’s hardware R&D strategy. The key elements of the strategy included: 1) Establish a portfolio of vendor-led hardware R&D projects for component, node and system architecture design, and 2) Create a national lab-led Design Space Evaluation team to provide ECP with independent architectural analysis of the vendors’ designs and the ability to facilitate co-design communication among the vendors and ECP’s application and system software development teams.
Jim holds a Ph.D. in Mechanical Engineering from the University of California, Berkeley. He was a member of a SNL team that received a National Nuclear Security Administration (NNSA) Defense Program Award of Excellence in 2011.
- HPC system architectures
- System-on-Chip processor and node architectures and enabling technologies
- Data movement capabilities: advanced memory subsystems, and HPC system interconnection network fabrics
- HPC application performance analysis
- HPC architectural system simulation
- Pre-production and advanced architecture test beds
- Holistic Co-design: multi-disciplinary, multi-institutional collaborations
“PNNL’s Data-Model Convergence Initiative – 2020 Update”
James A. Ang, Ph.D.
Chief Scientist for Computing, Physical and Computational Sciences Directorate
Pacific Northwest National Laboratory (PNNL), Richland, Washington, USA
Wednesday 19 February 2020 – 2:15 pm
PNNL’s Data-Model Convergence (DMC) Initiative was launched in January 2019. The DMC Initiative is pursing integration of high performance computing (HPC) modelling and simulation, data/graph analytics, and domain-aware machine learning computing paradigms on multiple levels.
This five-year initiative is creating the next generation of scientific computing capability through a software and hardware co-design effort at the levels of:
1) heterogeneous workloads,
2) integrated system software stack, and
3) conceptual designs for heterogeneous system-on-chip processors.
This 2020 update will provide an overview of our portfolio of DMC projects in Application Domains, Data Sciences, Software Stack and Hardware Architectures. Computing workflows that use this converged DMC software and hardware architecture support laboratory objectives in accelerating scientific discovery, and real-time control of the power grid.