Ang participated in a CHIPS R&D event and roundtable discussion
James (Jim) Ang, who is a chief scientist for computing at Pacific Northwest National Laboratory, shared his vision for how CHIPS R&D will impact energy efficient computing at the White House event.
(Photo by Andrea Starr | Pacific Northwest National Laboratory)
James (Jim) Ang, who is a chief scientist for computing at Pacific Northwest National Laboratory (PNNL), was invited to the White House to share his vision on computing research enabled by the Creating Helpful Incentives to Produce Semiconductors (CHIPS) and Science Act. Ang joined senior leadership from the Department of Commerce, the White House, the Department of Energy (DOE), the National Science Foundation, the National Center for Advancement of Semiconductor Technology (Natcast), and other agencies at the CHIPS event and roundtable discussion which was held on February 9th.
The CHIPS and Science Act aims to boost semiconductor manufacturing and microelectronics research and development (R&D) in the United States.
“One of the greatest challenges in microelectronics computing R&D is that software development is significantly lower in cost and time than hardware development, making it more attractive for venture capital investment,” said Ang. “Natcast aims to greatly lower these barriers to innovation by enabling the rapid and low cost design and development of prototype hardware.”
Ang previously served on the Industrial Advisory Committee established by the Department of Commerce to discuss domestic semiconductor research and development. He also participated in a virtual discussion led by the DOE’s Office of Science on “Driving U.S. Competitiveness and Innovation: A New Era of Science for Transformative Industries.”
At PNNL, Ang serves the sector lead for the DOE Office of Science, Advanced Scientific Computing Research program. PNNL’s Advanced Scientific Computing Research portfolio includes innovative projects and initiatives to support energy-efficient computing, such as the Advanced Memory to Support Artificial Intelligence for Science (AMAIS) project, the Center for Advanced Technology Evaluation (CENATE), and the co-design Center for Artificial Intelligence-focused Architectures and Algorithms (ARIAA).
“Through our expertise in tools for designing domain-specialized accelerators, hardware software co-design of computer algorithms and architectures, and evaluation of novel computing technologies, PNNL is primed to support the CHIPS and Science Act,” said Ang.
Published: February 15, 2024