Aaron Lefohn

Aaron Lefohn joined NVIDIA Research in 2013 and is leading real-time rendering research. Prior to joining NVIDIA, Aaron led an international real-time rendering and graphics programming model research team at Intel, the Advanced Rendering Technology team. He joined Intel in 2007 via Intel's acquisition of the computer graphics startup company, Neoptica. Neoptica was building new graphics programming models for Sony PlayStation 3 and other heterogeneous architectures. Before Neoptica, Aaron was a researcher at Pixar Animation Studios, creating interactive rendering tools for film artists. Aaron received his Ph.D. in computer science from UC Davis, his M.S. in computer science from University of Utah, and also holds an M.S. in theoretical chemistry.

A complete list of prior publications can be found here.

Timothy Tsai

For the past 25 years, I have been involved with research into the reliability of many aspects of computing systems, including general computing systems, supercomputers, telecommunications systems, automotive systems, and storage subsystems.  My current work focuses on the reliable use of Nvidia processors, software, and systems, particularly for HPC and automotive uses.

Main Field of Interest: 

Mike O'Connor

Mike O'Connor currently a Senior Manager and Research Scientist at NVIDIA in the Architecture Research group (in the Austin, TX office).

He leads a team of researchers focusing on enabling technologies for high-bandwidth, energy efficient future DRAM/NVRAM systems.

 

He has broad interests in many areas of computer architecture, including:

  • Reducing Energy requirements for DRAM systems
  • Future DRAM/NVRAM interface architectures
  • GPU Architectures (both processing cores and cache/memory systems) 
  • Low-power datapath design for reducing switching activity
Main Field of Interest: 

Daniel Johnson

Daniel joined NVIDIA Research in 2012. Daniel has a B.S. in electrical engineering from the University of Texas at Austin, and M.S. and Ph.D. in computer engineering from the University of Illinois, Urbana-Champaign. He was a 2011 recipient of the NVIDIA Graduate Fellowship.

Ted Jiang

Ted Jiang joined NVIDIA research at the end of 2012 after completing his PhD in electrical engineering at Stanford University. His research interests span a wide range of interconnection networks topics from routing algorithms, congestion control mechanisms, allocator designs, router designs, topology analysis, and network simulation. His network expertise spans from network-on-chip for SoC or CMP systems to large scale system area networks for high performance computing and Datacenters. 

Additional Research Areas: 

Sylvia Chanak

Sylvia began her career as an ASIC engineer, and then moved into Program Management where she has enjoyed running a variety of programs and projects and helping with business operations for engineering and research groups. She is currently involved with the project management of the NVIDIA Research government programs and a variety of other activities for the Research department. She has a BSEE from UCLA and an MS Engineering Management from Santa Clara University. She is also PMP certified.

 

Evgeny Bolotin

Dr. Evgeny Bolotin joined NVIDIA in March 2013 and is a member of the Architecture Research Group Staff. Evgeny’s primary current focus is on the Memory System Architecture advancements and explorations for future generations of GPU SoCs. Prior to joining NVIDIA Evgeny worked at Intel, Israel where he served as a System Architect responsible for full-chip CPU system integration, as well as developing and managing the memory system architecture development incl. on-chip ring interconnect, cache and advanced memory technologies for Intel client CPUs.  Previously Evgeny also held an adjunct faculty position with Electrical Engineering Department at Technion, and worked at Infineon Technologies and I.C.COM as VLSI systems design engineer. Evgeny holds a Ph.D., M.Sc. and B.Sc. degrees in Electrical Engineering from Technion, Israel Institute of Technology.

 

 

Chris Wyman

Chris joined NVIDIA Research in 2012. Previously, he served as an associate professor of computer science at the University of Iowa. He has a PhD in computer science from the University of Utah.

His research interests focus on realistic, real-time rendering including problems on lighting, global illumination, shadows, materials, participating media, and many related issues.

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