November 12–17, 2023

Colorado Convention Center, Denver, Colorado

Join us online at Supercomputing 2023 (SC23) to see how GPU computing and high-performance networking are transforming computational science and AI. We’ll feature groundbreaking sessions from speakers from leading industries and domains, along with demos, related content, and more.

NVIDIA SC23 Special Address

Hear about the latest in scientific computing from Ian Buck (NVIDIA), Kristel Michielsen (Jülich Research Center), Kimberly Powell (NVIDIA), Thomas Schulthess (Swiss National Supercomputing Centre), and Dan Stanzione (Texas Advanced Computing Center) on November 13, 6:00 a.m. PT (7:00 a.m. MT).

Featured News

NVIDIA Grace Hopper Superchip Powers JUPITER, Defining a New Class of Supercomputers to Propel AI for Scientific Discovery

The NVIDIA GH200 Grace Hopper™ Superchip marks a new era in supercomputing to tackle grand challenges in material science, climate research, drug discovery, and more.

NVIDIA Supercharges Hopper, the World’s Leading AI Computing Platform

NVIDIA has supercharged the world’s leading AI computing platform with the introduction of the NVIDIA HGX™ H200. Featuring advanced memory to handle massive amounts of data for generative AI and high-performance computing (HPC) workloads, HGX H200 systems and cloud instances are coming soon from the world’s top server manufacturers and cloud service providers.

NVIDIA Grace Hopper Superchip Powers 40+ AI Supercomputers Across Global Research Centers, System Makers, and Cloud Providers

NVIDIA GH200-powered centers represent 200 exaflops of AI performance that are driving scientific innovation and enabling scientists and researchers to tackle some of the world’s most challenging problems.

Researchers Poised for Advances With NVIDIA CUDA Quantum

The world’s largest chemical company is among many organizations seeking insights with hybrid quantum computing on NVIDIA’s programming environment and GPUs. Learn how the quantum computing team at BASF simulated the equivalent of 24 qubits—the processing engines of a quantum computer—to show how it can help tackle great challenges.

Generative AI for the Genome: LLM Predicts Characteristics of COVID Variants

A widely acclaimed large language model (LLM) for genomic data can generate gene sequences that closely resemble real-world variants of SARS-CoV-2, the virus behind COVID-19. A new demo will allow users to explore visualizations of the genome-scale language model by Argonne National Laboratory, the University of Chicago, NVIDIA, and other collaborators.

AWS and NVIDIA Advance Energy Efficiency for HPC in the Cloud

Enterprises running HPC workloads on premises are faced with rising electricity costs, limited power allocation, and growing complexity of 3D simulations and AI models. Learn how AWS and NVIDIA are enhancing energy efficiency, lowering costs, and scaling workloads for HPC in the cloud with full-stack accelerated computing.

Schedule at a Glance

At SC23, explore a range of groundbreaking work in the field of accelerated computing. Take a closer look at the scheduled NVIDIA sessions that are part of this year’s program.

Sunday 11/12 Monday 11/13 Tuesday 11/14 Wednesday 11/15 Thursday 11/16 Friday 11/17
Portable GPU Acceleration of Applications With Standard C++ 8:30 a.m.–12:00 p.m. MT Tutorial From Zero to Hero: Conquering the Arm® Neoverse 8:30 a.m.–12:00 p.m. MT Tutorial

Digital Twins: Practices and Principles for High-Performance Computing 8:30 a.m.–12:00 p.m. MT Workshop
Performance Tuning With the Roofline Model on GPUs and CPUs 8:30 a.m.–5:00 p.m. MT Tutorial Deep Learning at Scale 8:30 a.m.–5:00 p.m. MT Tutorial

First International Workshop on HPC Testing and Evaluation of Systems, Tools, and Software (HPCTESTS 2023) 8:30 a.m.–12:00 p.m. MT Workshop
Using Containers to Accelerate HPC 8:30 a.m.–5:00 p.m. MT Tutorial 2023 International Workshop on Performance, Portability, and Productivity in HPC (P3HPC) 9:00 a.m.–12:30 p.m. MT Workshop

Leveraging SmartNICs for HPC Applications 1:30–5:00 p.m. MT Tutorial Efficient Distributed GPU Programming for Exascale 8:30 a.m.–5:00 p.m. MT Tutorial

Accelerating Scientific Workflows With the NVIDIA Grace Hopper™ Platform 1:30–2:00 p.m. MT Exhibitor Forum

WHPC@SC23: 16th International Women in HPC Workshop 9:00 a.m.–5:30 p.m. MT Workshop A Deep Dive into the Latest NVIDIA HPC Software 4:00–4:30 p.m. MT Exhibitor Forum Digital Twins for Science 4:00–4:30 p.m. MT Exhibitor Forum

Fourth International Workshop on Quantum Computing Software 9:00 a.m.–5:30 p.m. MT Workshop Defining the Quantum Accelerated Supercomputer 4:30–5:00 p.m. MT Exhibitor Forum

Sunday 11/12 Monday 11/13 Tuesday 11/14 Wednesday 11/15 Thursday 11/16 Friday 11/17
Understanding the Performance, Reproducibility, Validation, Portability, and Sustainability of Coupled HPC Simulation and Deep Learning Calculations 8:30–10:00 a.m. MT Panel
Legate Sparse: Distributed Sparse Computing in Python 10:30–11:00 a.m. MT Paper Calculon: a Methodology and tool for High-Level Codesign of Systems and Large Language Models 11:00–11:30 a.m. MT Paper
27th Graph500 List 12:15–1:15 p.m. MT Birds of a Feather Unity ECC: Unified Memory Protection Against Bit and Chip Errors 11:30 a.m.–12:00 p.m. MT Paper
Accelerating Storage IO to GPUs 12:15–1:15 p.m. MT Birds of a Feather Americas HPC Collaboration: Global Actions 12:15–1:15 p.m. MT Birds of a Feather
First Steps Toward Adopting Direct-Liquid-Cooled HPC 12:15–1:15 p.m. MT Birds of a Feather Applications, Libraries, and Tools in Modern Fortran (alt.fortran) 12:15–1:15 p.m. MT Birds of a Feather
Mixed Feelings About Mixed Precisions 12:15–1:15 p.m. MT Birds of a Feather Advanced Architecture “Playgrounds”—Past Lessons and Future Access of Testbeds 12:15–1:15 p.m. MT Birds of a Feather
SmartNICs: Exploring the Future of In-Network Computation With the HPC Community 12:15–1:15 p.m. MT Birds of a Feather Parallel Top-K Algorithms on GPU: A Comprehensive Study on New Methods 1:30–2:00 p.m. MT Paper
Workflows Community: Modern Workflows for Continuum and Cross-Facility Computing 12:15–1:15 p.m. MT Birds of a Feather Scalable and Adaptable Architectures for AI/HPC Advancement 1:30–3:00 p.m. MT Panel
Arm in HPC: Experiences and Lessons Learned in Operating Arm-Based HPC Systems 5:15–6:45 p.m. MT Birds of a Feather Scientific Software and the People Who Make It Happen: Building Communities of Practice 5:15–6:45 p.m. MT Birds of a Feather
OpenACC Users Forum 5:15–6:45 p.m. MT Birds of a Feather The Future of Benchmarks in Supercomputing 5:15–6:45 p.m. MT Birds of a Feather
Unified Communication X (UCX) Community 5:15–6:45 p.m. MT Birds of a Feather Two Worlds Collide: Forging Sustainable Coupled HPC Simulation/Deep Learning Applications From Hardware to Algorithm 5:15–6:45 p.m. MT Birds of a Feather

Featured Demos

Explore how NVIDIA technologies are transforming a variety of industries with new capabilities in HPC. Tune in during the week of November 13 to view these demos at your own pace.

Expanding NVIDIA Omniverse: BMW Group’s Factory of the Future 2.0

BMW’s Factory of the Future uses a digital twin created in NVIDIA Omniverse™ to simulate complex production scenarios, support continuous improvement, speed output, increase agility, and optimize efficiency.

Siemens Maximizes Wind Energy Production Using Wake Optimization

Using NVIDIA Modulus and Omniverse, Siemens Gamesa Renewable Energy can optimize each wind farm configuration to get the most out of their investment and reduce cost for consumers. The simulation using Omniverse is 4,000X faster than their previous models.

Accelerating Extreme Weather Prediction With FourCastNet

NVIDIA’s FourCastNet, a physics-informed machine learning (physics-ML) model that emulates the dynamics of global weather patterns, predicts extremes with unprecedented speed and accuracy.

Accelerating Scientific Computing With NVIDIA BlueField

NVIDIA® BlueField® DPUs accelerate scientific computing applications up to 26 percent by offloading collective operations from the CPU and performing communications in the background.

Building a Fusion Reactor Digital Twin in NVIDIA Omniverse

The UK’s Atomic Energy Authority (UKAEA) and researchers at the University of Manchester are using the Omniverse simulation platform to accelerate the design and development of a full-scale fusion reactor.

NVIDIA Self-Healing Network Technology Enables Unbreakable Data Centers

The self-healing network capabilities of NVIDIA Quantum InfiniBand switches speed up fault recovery by 1,000X to overcome link failures, enabling network recovery much faster than any other software-based solution.

Maximize Performance for Distributed Deep Learning With NVIDIA SHARP

Working together, NVIDIA Scalable Hierarchical Aggregation Protocol (SHARP)™ and NVIDIA HGX™ A100 deliver performance gains of up to 2.5X for the most common message sizes used with deep learning.

CUDA Developer Tools for Profiling NVIDIA Hopper and Workflow Enhancements

This video gives an overview of the latest updates to CUDA® developer tools, including Arm® GUI support, SDK Manager improvements, and performance metrics for CPU and GPU profiling.

Optimize Multi-Node System Workloads With NVIDIA Nsight Systems

The latest NVIDIA Nsight™ Systems preview supports multi-node systems and helps developers on their tuning and optimization journey. 

Interactive Visualization of High-Resolution, Global-Scale Climate Data in the Cloud

The Earth-2 platform is built on NVIDIA Omniverse and the OpenUSD 3D framework and enables aggregation and visualization of diverse, global-scale climate simulation and geospatial datasets.

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Develop the skills you need to do your life’s work in accelerated computing, data science, and AI and earn certificates of subject-matter competency through the NVIDIA Deep Learning Institute (DLI).

Instructor-Led Workshops

Join our hands-on virtual workshops and earn an NVIDIA certificate of competency upon successful completion. Special offer: Use promo code DLISC23 to get a 20% discount on workshops offered through February 2024. Space is limited.

Self-Paced Training

Develop your skills in accelerated computing with NVIDIA Deep Learning Institute’s technical self-paced courses. View All Accelerated Computing Courses.

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Come meet the NVIDIA team at the SC23 job fair at table JF15.

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