The Computer Architecture Group (CAG) is interested in the design, architecture and programming of future HPC systems to enable continued scientific research. A timely question for our group is how to prepare future HPC and data center systems given the expectation of many heterogeneous computing resources, and the continued need for higher performance efficiency to reach the next milestone after exascale computing. CAG is investigating related topics as well, such as specialized hardware accelerators, micro-architectural enhancements, new devices to replace existing CMOS transistors, emerging memories, 3D, and photonics.
These challenges have motivated the research in the Photonic Integrated Networked Energy efficient datacenter (PINE) project. The PINE architecture addresses the data movement challenge by leveraging the unique properties of photonics to steer bandwidth to where it is needed rather than over-provisioning network resources, which significantly increases energy consumption. Photonics can also be used to efficiently perform resource disaggregation which includes advanced photonic link technology, Photonic Multichip modules, and optical circuit switches to dynamically reconfigure/aggregate resources to meet the needs of diverse workloads.
We are seeking a Postdoctoral Fellow for Advanced Optical Interconnects in Datacenters to participate primarily in system-level architectural studies using models of emerging photonic components. In particular, the focus of this position is to design novel ways for resource disaggregation and network reconfiguration at every level (node to system) to best serve HPC and datacenter applications and take advantage of the unique strengths of optical switches and links. This project requires expertise in networks and computer architecture. The successful candidate will also have opportunities to participate in exciting projects in related fields, such as in micro-architectural research towards improving performance of critical HPC and datacenter applications.
We value and strive for diversity in backgrounds, experiences, and perspectives.
What You Will Do:
Design and implement a multi-scale modeling and simulation environment to model the impact of a wide range of ideas in computer networks and architecture.
Capture communication and computation traces from important HPC and datacenter applications using CPUs and GPUs to guide this study.
Work closely with the developers of emerging optical components such as switches for incorporation into the simulation framework, including developers of other relevant technologies. Provide feedback and suggestions to those developers on how to improve their components to better fit HPC and data center systems.
Use demonstrated expertise in networks and computer architecture to design a novel approach to resource disaggregation and network reconfiguration in all system levels that includes the reconfiguration algorithm, physical topology limitations, topology construction, routing, adapting to different optimization goals, impact to the applications, etc.
Collaborate with algorithm and software developers for the purpose of making results of research easily accessible to them.
Participate in all requested assignments, including research, preparation of funding proposals, documentation of results and reporting results to sponsors.
Establish research directions and pursue funding opportunities.
What is Required:
PhD in Computer Science, Applied Mathematics, Computational Science, Mechanical Engineering, Physics or a related discipline.
Understanding of devices and their models, 3D integration, emerging memory technologies, and architecture specialization (e.g., accelerators).
Demonstrated expertise in working with modeling and simulation methods and software tools for hardware exploration.
Demonstrated expertise in setting research direction and priorities for future computing architectures or network architectures.
Demonstrated expertise in Verilog, C++, Python.
Familiarity with HPC and datacenter applications.
Excellent verbal and written communication skills.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
Demonstrated expertise in photonic systems.
Demonstrated expertise in HPC or datacenter applications.
Demonstrated expertise in Scala.
Understanding of programming models popular in HPC and datacenters.
For full consideration, please apply by October 29, 2020.
This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
This position is represented by a union for collective bargaining purposes.
Salary will be predetermined based on postdoctoral step rates.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
Internal Number: 91179
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.