Salishan 2017 Program
Full Program | At-A-Glance Program
Keynote Address
Bits, Qubits, Neurons: The Near (and Not so Near) Future of Computing | William Camp, Camp Research
Session 1: Many-Core Computing - Application Challenges and Trinity/Cori Specifics
Intel's Many-Core Journey: Past, Present, and Future | Alan Gara, Intel
The Impact of Increasing Memory System Diversity on Applications | Gwen Voskuilen, Sandia National Laboratories
Trinity Center of Excellence: "I Can't Promise to Solve All of Your Problems, but I Can Promise You Won't Face Them Alone"| Hai Ah Nam, Los Alamos National Laboratory
Many-Cores for the Masses - Moving the NERSC Workload to Knights Landing and Beyond| Jack Deslippe, Lawrence Berkeley National Laboratory
The Impact of Increasing Memory System Diversity on Applications | Gwen Voskuilen, Sandia National Laboratories
Trinity Center of Excellence: "I Can't Promise to Solve All of Your Problems, but I Can Promise You Won't Face Them Alone"| Hai Ah Nam, Los Alamos National Laboratory
Many-Cores for the Masses - Moving the NERSC Workload to Knights Landing and Beyond| Jack Deslippe, Lawrence Berkeley National Laboratory
Session 2: Heterogeneous Computing - Application Challenges and Sierra/Summit Specifics
Portable Performance with OpenMP in a Heterogeneous Era | Tom Scogland, Lawrence Livermore National Laboratory
Heterogenous Computing Challenges and Directions| John Danskin, Nvidia
Principles of Porting Disorder Therapy for the HPC Clinician: An Introduction | Fernanda Foertter, Oak Ridge National Laboratory
A Case for Intelligent (Co-)Design| Sean Treichler, Nvidia
Heterogenous Computing Challenges and Directions| John Danskin, Nvidia
Principles of Porting Disorder Therapy for the HPC Clinician: An Introduction | Fernanda Foertter, Oak Ridge National Laboratory
A Case for Intelligent (Co-)Design| Sean Treichler, Nvidia
Working Dinner
Winemaking: The Art and Science of Rotting Grapes to Perfection | James Osborne, Oregon State University
Session 3: Neuro-Inspired Computing
The Brain's Circuits Suggest Computing with High-Dimensional Vectors | Pentti Kanerva, University of California, Berkeley
TrueNorth Ecosystem | Dharmendra Modha, IBM
Exploring Neuromorphic Computing a Lawrence Livermore National Laboratory | Brian Van Essen, Lawrence Livermore National Laboratory
Neural-Inspired Computing Algorithms and Hardware for Image Analysis and Cybersecurity Applications | Conrad James, Sandia National Laboratories
TrueNorth Ecosystem | Dharmendra Modha, IBM
Exploring Neuromorphic Computing a Lawrence Livermore National Laboratory | Brian Van Essen, Lawrence Livermore National Laboratory
Neural-Inspired Computing Algorithms and Hardware for Image Analysis and Cybersecurity Applications | Conrad James, Sandia National Laboratories
Random Access
A Case for Thread Mobility | Peter Kogge, University of Notre Dame
Taxonomy of HPC and DL - A Cry for Help | Dale Southard, Nvidia
The Goldilocks Principle is Wrong | Marc Snir, University of Illinois
Any Sufficiently Advanced Compiler.... | Michael Wolfe, Nvidia
Solving the Information Technology Energy Challenges Beyond Moore's Law: A New Path to Scaling | Bill Harrod, DOE
Exascale by 2021-23 - Truth of Myth? | Shekhar Borkar, Qualcomm
Some Interesting Observations on the Knight's Landing | John Levesque, Cray
China HPC Update and Exascale Predictions | David Kahaner, Asian Technology Information Program
Taxonomy of HPC and DL - A Cry for Help | Dale Southard, Nvidia
The Goldilocks Principle is Wrong | Marc Snir, University of Illinois
Any Sufficiently Advanced Compiler.... | Michael Wolfe, Nvidia
Solving the Information Technology Energy Challenges Beyond Moore's Law: A New Path to Scaling | Bill Harrod, DOE
Exascale by 2021-23 - Truth of Myth? | Shekhar Borkar, Qualcomm
Some Interesting Observations on the Knight's Landing | John Levesque, Cray
China HPC Update and Exascale Predictions | David Kahaner, Asian Technology Information Program
Student Posters
Monte Carlo Transport on Modern Architectures: Quicksilver at the LLNL COE| Ryan Bleile, University of Oregon, Eugene
Gradient Quantization for Data-Parallel DNN Training | Nikoli Dryden, University of Illinois Urbana-Champaign
Kokkos Autotuning for SpMV Kernels on High-Performance Accelerators | Simon Garcia De Gonzalo, University of Illinois Urbana-Champaign
Finding Maximum Cliques on a Quantum Annealer | Georg Hahn, Imperial College London
A RAJA-based Tuning Framework for Multi-Platform Performance Prediction | William Killian, University of Delaware
Sparse Coding on Stereo Video for Object Detection | Sheng Lundquist, Portland State University
| Ciaran Ryan-Anderson, University of New Mexico
Designing Neural Information Processing at Scale: Some Lessons from Self-Organization in Spiking Neural Networks | Felix Wang, University of Illinois Urbana-Champaign
Effective OpenMP Implementations | Yuliana Zamora, University of New Mexico
Gradient Quantization for Data-Parallel DNN Training | Nikoli Dryden, University of Illinois Urbana-Champaign
Kokkos Autotuning for SpMV Kernels on High-Performance Accelerators | Simon Garcia De Gonzalo, University of Illinois Urbana-Champaign
Finding Maximum Cliques on a Quantum Annealer | Georg Hahn, Imperial College London
A RAJA-based Tuning Framework for Multi-Platform Performance Prediction | William Killian, University of Delaware
Sparse Coding on Stereo Video for Object Detection | Sheng Lundquist, Portland State University
| Ciaran Ryan-Anderson, University of New Mexico
Designing Neural Information Processing at Scale: Some Lessons from Self-Organization in Spiking Neural Networks | Felix Wang, University of Illinois Urbana-Champaign
Effective OpenMP Implementations | Yuliana Zamora, University of New Mexico
Session 4: Quantum Computing
Quantum High Performance Computing | Matthias Troyer, Microsoft
Quantum Computing: Cladogenesis Beyond Exascale HPC | Andrew Landahl, Sandia National Laboratories
Quantum Annealing at NASA: Current Status | Rupak Biswas, NASA Ames Research Center
What to Do with More than 1000 Quantum Bits | Scott Pakin, Los Alamos National Laboratory
Quantum Computing: Cladogenesis Beyond Exascale HPC | Andrew Landahl, Sandia National Laboratories
Quantum Annealing at NASA: Current Status | Rupak Biswas, NASA Ames Research Center
What to Do with More than 1000 Quantum Bits | Scott Pakin, Los Alamos National Laboratory
Session 5: Crosscutting Fragments
128 Bit, Exascale Memory Reference Models for Next Generation, Exabyte Capacity Physical Memory Systems | Steven Wallach, Micron
2017-monroe.pdfProbabilistic Computing in the Post-Moore's Era| Laura Monroe, Los Alamos National Laboratory
Towards Always-On Integrated Performance Analysis Tools| Matthew LeGendre, Lawrence Livermore National Laboratory
2017-monroe.pdfProbabilistic Computing in the Post-Moore's Era| Laura Monroe, Los Alamos National Laboratory
Towards Always-On Integrated Performance Analysis Tools| Matthew LeGendre, Lawrence Livermore National Laboratory