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Intel Corporation
Contributors
Nesreen Ahmed
Federico Ardanaz
Christoph Bauinger
Roba Binyahib
Stanislav Bratanov
James Brodman
Scott Campbell
Bob Cantwell
Phil Cayton
Mohamad Chaarawi
David DeMarle
Tanima Dey
Jonathan M. Eastep
David Eberius
Yong Fan
Olivier Franza
Ryan G. Kim
Maria Garzaran
Florian Geissler
Balazs Gerofi
Subrata Goswami
Michael Hennecke
Siddhartha Jana
Maxwell Jong
Alexei Kalinin
Nalini Kumar
Janghaeng Lee
Kin Long Kelvin Lee
Kurt Lender
Zhiqiang Ma
Varsha Madananth
Tim Mattson
Suprasad Mutalik Desai
J. Pablo Muñoz
David Ozog
Michael Paulitsch
Stephen Pawlowski
John Pennycook
Nariman Piroozan
Seyed Qutub
Md. Wasi-ur- Rahman
Rebecca Ramer
James Reinders
Harald Servat
Sergey Shumaray
Navneet Singh
Xinmin Tian
Mariam Umar
Karthikeyan Vaidyanathan
Thomas Willhalm
Daniel C. Wilson
Koichi Yamada
Xiao Zhu
Session Chairs
James C. Brodman
Balazs Gerofi
John Pennycook
Harald Servat
Presentations
Workshop
13th International Workshop on Runtime and Operating Systems for Supercomputers (ROSS)
Middleware and System Software
Programming Frameworks and System Software
Runtime Systems
W
Workshop
A Performance-Portable SYCL Implementation of CRK-HACC for Exascale
Performance Measurement, Modeling, and Tools
Performance Optimization
W
Workshop
An End-to-End HPC Framework for Dynamic Power Objectives
Artificial Intelligence/Machine Learning
Energy Efficiency
Green Computing
Performance Measurement, Modeling, and Tools
Sustainability
W
Workshop
Closing Remarks
Compilers
Heterogeneous Computing
Performance Optimization
W
Exhibitor Forum
Compute Express Link (CXL): Advancing Coherent Connectivity
Artificial Intelligence/Machine Learning
Architecture and Networks
Hardware Technologies
TP
XO/EX
Tutorial
Custom FPGA Workload Development Using Open FPGA Stack and oneAPI
Accelerators
Programming Frameworks and System Software
TUT
Workshop
CXL Memory as Persistent Memory for Disaggregated HPC: A Practical Approach
Applications
Data Movement and Memory
Heterogeneous Computing
I/O and File Systems
Large Scale Systems
Middleware and System Software
Performance Measurement, Modeling, and Tools
Performance Optimization
W
Workshop
DAOS Beyond Persistent Memory: Architecture and Initial Performance Results
Data Movement and Memory
Heterogeneous Computing
I/O and File Systems
W
Workshop
DAOS Project Update
Data Analysis, Visualization, and Storage
Data Movement and Memory
W
Birds of a Feather
DAOS Storage Community BoF
Data Analysis, Visualization, and Storage
TP
XO/EX
Workshop
Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems
Applications
Distributed Computing
Large Scale Systems
Programming Frameworks and System Software
Runtime Systems
W
Workshop
Enabling Performant Thermal Conductivity Modeling with DeePMD and LAMMPS on CPUs
Artificial Intelligence/Machine Learning
W
Workshop
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Artificial Intelligence/Machine Learning
W
Workshop
Evaluating the Potential of Elastic Jobs in HPC Systems
Modeling and Simulation
Performance Measurement, Modeling, and Tools
W
Workshop
Fourth Workshop on Heterogeneous Memory Systems (HMEM)
Data Movement and Memory
Heterogeneous Computing
W
Tutorial
Hands-On HPC Application Development Using C++ and SYCL
Accelerators
Applications
Heterogeneous Computing
Quantum Computing
TUT
Birds of a Feather
HPC Graph Toolkits and the GraphBLAS Forum
Algorithms
TP
XO/EX
Workshop
IA^3 – Concluding Remarks
Algorithms
Applications
Architecture and Networks
W
Workshop
IA^3 – Welcome and Introduction
Algorithms
Applications
Architecture and Networks
W
Birds of a Feather
Increasing Memory Utilization and Reducing Total Memory Cost Using CXL
Artificial Intelligence/Machine Learning
TP
XO/EX
Workshop
Keynote: A Perspective on 1000x Energy Efficiency in 20 Years
Applications
Architecture and Networks
Data Movement and Memory
Heterogeneous Computing
Large Scale Systems
Middleware and System Software
W
Birds of a Feather
Khronos SYCL: What’s Next?
Programming Frameworks and System Software
TP
XO/EX
Exhibitor Forum
Large Scale Accelerated Rendering on 10K Ray Tracing Enabled Nodes
Artificial Intelligence/Machine Learning
Fault Handling and Tolerance
Large Scale Systems
Programming Frameworks and System Software
TP
XO/EX
Workshop
Lightning Talk: Inherent Checkpointing Properties of Nested Parallelism
Fault Handling and Tolerance
W
Workshop
LLVM-HPC2023: The Ninth Workshop on the LLVM Compiler Infrastructure in HPC
Compilers
Heterogeneous Computing
Performance Optimization
W
Birds of a Feather
MPICH: A High Performance Open-Source MPI Implementation
Programming Frameworks and System Software
TP
XO/EX
Birds of a Feather
Navigating Complexity: Achieving Performance Portability in the Evolving Landscape of Heterogeneous HPC Systems
State of the Practice
TP
XO/EX
Birds of a Feather
OpenMP API Version 6.0 – What to Expect
Programming Frameworks and System Software
TP
XO/EX
Workshop
Optimization of Ported CFD Kernels on Intel Data Center GPU Max 1550 Using oneAPI ESIMD
Algorithms
Heterogeneous Computing
Large Scale Systems
W
Workshop
Panel Discussion
Compilers
Heterogeneous Computing
Performance Optimization
W
Tutorial
Performance Tuning with the Roofline Model on GPUs and CPUs
Accelerators
Heterogeneous Computing
Performance Measurement, Modeling, and Tools
Performance Optimization
Software Engineering
TUT
Birds of a Feather
Power Consumption and Exascale Computing: Toward a “Short Production Circuit” Model
Architecture and Networks
TP
XO/EX
Workshop
Programming Model for Habana/Gaudi2 Accelerators and Its Impact on Deep Learning Inference/Training Performance at Scale
Large Scale Systems
Middleware and System Software
Programming Frameworks and System Software
W
Tutorial
Programming Your GPU with OpenMP: A “Hands-On” Introduction
Accelerators
Algorithms
Task Parallelism
TUT
Workshop
PTI-GPU: Kernel Profiling and Assessment on Intel GPUs
Programming Frameworks and System Software
W
Workshop
RISA: Round-Robin Intra-Rack Friendly Scheduling Algorithm for Disaggregated Datacenters
Architecture and Networks
Data Movement and Memory
Resource Management
W
Panel
Scalable and Adaptable Architectures for AI/HPC Advancement
Artificial Intelligence/Machine Learning
TP
Paper
Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults
Accelerators
Artificial Intelligence/Machine Learning
Codesign
Fault Handling and Tolerance
Performance Measurement, Modeling, and Tools
Post-Moore Computing
TP
Workshop
Sunfish: An Open Centralized Composable HPC Management Framework
Architecture and Networks
Data Movement and Memory
Resource Management
W
Tutorial
The OpenMP Common Core: A “Hands-On” Introduction
Algorithms
Programming Frameworks and System Software
Task Parallelism
TUT
Workshop
Toward Foundation Models for Materials Science: The Open MatSci ML Toolkit
Artificial Intelligence/Machine Learning
W
Birds of a Feather
Unified Software Power Management for HPC System Stacks
Energy Efficiency
Middleware and System Software
Sustainability
TP
XO/EX
Workshop
Welcome and Introduction
Architecture and Networks
Data Movement and Memory
Resource Management
W
Paper
Xfast: Extreme File Attribute Stat Acceleration for Lustre
Data Analysis, Visualization, and Storage
I/O and File Systems
State of the Practice
TP
Sessions
Workshop
LLVM-HPC2023: The Ninth Workshop on the LLVM Compiler Infrastructure in HPC
Compilers
Heterogeneous Computing
Performance Optimization
W
Workshop
13th International Workshop on Runtime and Operating Systems for Supercomputers (ROSS)
Middleware and System Software
Programming Frameworks and System Software
Runtime Systems
W
Workshop
2023 International Workshop on Performance, Portability, and Productivity in HPC (P3HPC)
Performance Measurement, Modeling, and Tools
Performance Optimization
W
Workshop
Fourth Workshop on Heterogeneous Memory Systems (HMEM)
Data Movement and Memory
Heterogeneous Computing
W
Workshop
3rd International Workshop on RESource DISaggregation in High Performance Computing (RESDIS)
Architecture and Networks
Data Movement and Memory
Resource Management
W
Booth
617
Exhibitor Description
Driving Innovation We believe that data is dramatically shaping the future of all humankind. Intel is working relentlessly to unleash the potential of data, leading to more capable and efficient networks, and pervasive AI across smart devices. Moore’s Law set the pace for the digital revolution and continues to inspire us today.
Website
Intel Corporation
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