معرفی
Stephen W. Keckler is an Adjunct Professor at the Department of Computer Science, The University of Texas at Austin, and serves as Vice President of Architecture Research at NVIDIA. He is an ACM Fellow, IEEE Fellow, and Sloan Foundation Research Fellow.
Education:
- BS in Electrical Engineering, Stanford University (1990)
- SM in Computer Science, Massachusetts Institute of Technology (1992)
- PhD in Computer Science, MIT (1998)
Research Interests focus on computer architecture for deep learning, GPU computing, and energy-efficient systems. His work explores memory compression, network-on-chip designs, and heterogeneous computing.
Publication Trends highlight advancements in deep learning accelerators, GPU memory systems, and energy-efficient architectures. Notable themes include sparsity exploitation, multi-chip modules, and fault-tolerant GPU pipelines.
Scientific Recognition:
- ACM Fellow
- IEEE Fellow
- Sloan Foundation Research Fellow
- Best Paper Awards at ASPLOS 2009 and ISPASS 2011
Laboratory Affiliations:
- Computer Architecture and Technology Laboratory (CART)
- TRIPS Project (Tera-Op Reliable Intelligently adaptive Processing System)
- NVIDIA Research
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