Канал: Argonne Leadership Computing Facility

Overview of DAOS and Best Practices

Overview of DAOS and Best Practices

Intro to AI Series: Introduction to Large Language Models (LLM)

Intro to AI Series: Introduction to Large Language Models (LLM)

Intro to AI Series: Advanced Topics in Neural Networks

Intro to AI Series: Advanced Topics in Neural Networks

Intro to AI Series: Introduction to Neural Networks

Intro to AI Series: Introduction to Neural Networks

Intro to AI Series: Intro to Artificial Intelligence on Supercomputers

Intro to AI Series: Intro to Artificial Intelligence on Supercomputers

Intel Performance Profiling Tools on Aurora

Intel Performance Profiling Tools on Aurora

chipStar: a HIP implementation for Aurora

chipStar: a HIP implementation for Aurora

Getting Started on Polaris Bootcamp

Getting Started on Polaris Bootcamp

ALCF AI Testbed Training: Cerebras CS-2: Getting Started

ALCF AI Testbed Training: Cerebras CS-2: Getting Started

ALCF AI Testbed Training: Job Monitoring and Profiling

ALCF AI Testbed Training: Job Monitoring and Profiling

ALCF AI Testbed Training: Roadmap

ALCF AI Testbed Training: Roadmap

ALCF AI Testbed Training: Sparsity Accelerated Training

ALCF AI Testbed Training: Sparsity Accelerated Training

ALCF AI Testbed Training: Huggingface to CS 2 Overview

ALCF AI Testbed Training: Huggingface to CS 2 Overview

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Introducing 2.2.1

ALCF AI Testbed Training: Introducing 2.2.1

ALCF AI Testbed Training: Cerebras SDK for HPC Research and Applications

ALCF AI Testbed Training: Cerebras SDK for HPC Research and Applications

ALCF AI Testbed Training: Software and Programming

ALCF AI Testbed Training: Software and Programming

ALCF AI Testbed Training: Hardware and Systems

ALCF AI Testbed Training: Hardware and Systems

ALCF AI Testbed Training: Efficient Training with Cerebras and Scaling Laws

ALCF AI Testbed Training: Efficient Training with Cerebras and Scaling Laws

ALCF AI Testbed Training: How to: Model Porting, Layer API, and Dataloaders

ALCF AI Testbed Training: How to: Model Porting, Layer API, and Dataloaders

ALCF AI Testbed Training: Cerebras CS-2 Introduction

ALCF AI Testbed Training: Cerebras CS-2 Introduction

ALCF AI Testbed Training: Final Remarks, Q&A

ALCF AI Testbed Training: Final Remarks, Q&A

ALCF AI Testbed Training: Benchmarking Models with MLAgility

ALCF AI Testbed Training: Benchmarking Models with MLAgility

ALCF AI Testbed Training: Groq Runtime Overview

ALCF AI Testbed Training: Groq Runtime Overview

ALCF AI Testbed Training: What is Next?

ALCF AI Testbed Training: What is Next?

ALCF AI Testbed Training: Groq Language Processing Unit LPU Architecture

ALCF AI Testbed Training: Groq Language Processing Unit LPU Architecture

ALCF AI Testbed Training: Groq Compiler Overview

ALCF AI Testbed Training: Groq Compiler Overview

ALCF AI Testbed Training: Large Language Models with Groq

ALCF AI Testbed Training: Large Language Models with Groq

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Intro to MLAgility and GroqFlow

ALCF AI Testbed Training: Intro to MLAgility and GroqFlow

ALCF AI Testbed Training: GroqRack Compute Cluster: Getting Started

ALCF AI Testbed Training: GroqRack Compute Cluster: Getting Started

ALCF AI Testbed Training: Throughput Optimization with Groq

ALCF AI Testbed Training: Throughput Optimization with Groq

ALCF AI Testbed Training: Welcome to Groq

ALCF AI Testbed Training: Welcome to Groq

ALCF AI Testbed Training: Hands-on Session

ALCF AI Testbed Training: Hands-on Session

ALCF AI Testbed Training: Software Stack: TensorFlow, PyTorch, and Poplar

ALCF AI Testbed Training: Software Stack: TensorFlow, PyTorch, and Poplar

ALCF AI Testbed Training: Profiling with PopVision

ALCF AI Testbed Training: Profiling with PopVision

ALCF AI Testbed Training: Graphcore BowPod64 Hardware

ALCF AI Testbed Training: Graphcore BowPod64 Hardware

ALCF AI Testbed Training: Graphcore Pod64: Getting Started

ALCF AI Testbed Training: Graphcore Pod64: Getting Started

ALCF AI Testbed Training: Deep Dive on Graph Neural Networks and Large Language Models

ALCF AI Testbed Training: Deep Dive on Graph Neural Networks and Large Language Models

ALCF AI Testbed Training: Porting Applications with Poplar

ALCF AI Testbed Training: Porting Applications with Poplar

ALCF AI Testbed Training: Best Practices, Q&A

ALCF AI Testbed Training: Best Practices, Q&A

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: SambaNova and DataScale SN30 Software Overview

ALCF AI Testbed Training: SambaNova and DataScale SN30 Software Overview

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Hands-on Session

ALCF AI Testbed Training: Hands-on Session

ALCF AI Testbed Training: SambaNova and DataScale SN30 Hardware

ALCF AI Testbed Training: SambaNova and DataScale SN30 Hardware

ALCF AI Testbed Training: Using SambaTune to Understand a Model's Performance

ALCF AI Testbed Training: Using SambaTune to Understand a Model's Performance

ALCF AI Testbed Training: Models on DataScale

ALCF AI Testbed Training: Models on DataScale

ALCF AI Testbed Training: Large Language Models on DataScale SN30

ALCF AI Testbed Training: Large Language Models on DataScale SN30

ALCF AI Testbed Training: Running Models on SambaNova at ALCF AI Testbed

ALCF AI Testbed Training: Running Models on SambaNova at ALCF AI Testbed

ALCF AI Testbed Training: Best Practices, Q&A

ALCF AI Testbed Training: Best Practices, Q&A

Large-Scale Scientific Computing with Argonne's Aurora Exascale Supercomputer

Large-Scale Scientific Computing with Argonne's Aurora Exascale Supercomputer

Computing the Cosmos with Argonne's Aurora Exascale Supercomputer

Computing the Cosmos with Argonne's Aurora Exascale Supercomputer

Accelerating Materials Discovery with Argonne's Aurora Exascale Supercomputer

Accelerating Materials Discovery with Argonne's Aurora Exascale Supercomputer

Powering AI-Driven Research with Argonne's Aurora Exascale Supercomputer

Powering AI-Driven Research with Argonne's Aurora Exascale Supercomputer

Deep Learning Frameworks on Aurora

Deep Learning Frameworks on Aurora

INCITE Proposal Support Webinar #2

INCITE Proposal Support Webinar #2

Solving Challenging Energy Problems with Argonne's Aurora Exascale Supercomputer

Solving Challenging Energy Problems with Argonne's Aurora Exascale Supercomputer

Advancing Fusion Energy Science with Argonne's Aurora Exascale Supercomputer

Advancing Fusion Energy Science with Argonne's Aurora Exascale Supercomputer

Building Patient-Specific Models with Argonne's Aurora Exascale Supercomputer

Building Patient-Specific Models with Argonne's Aurora Exascale Supercomputer

QMCPACK: Journey to Exascale on Aurora

QMCPACK: Journey to Exascale on Aurora

Overview of Integrated Research Infrastructure

Overview of Integrated Research Infrastructure

Intro to AI Series: Evaluating LLMs and Potential Pitfalls

Intro to AI Series: Evaluating LLMs and Potential Pitfalls

Overview of Aurora's Exascale Compute Blade

Overview of Aurora's Exascale Compute Blade

Intro to AI Series: AI Accelerators

Intro to AI Series: AI Accelerators

Intro to AI Series: Parallel Training Methods for AI

Intro to AI Series: Parallel Training Methods for AI

Intro to AI Series: LLM: Embeddings and Tokenization

Intro to AI Series: LLM: Embeddings and Tokenization

Intro to AI Series: Introduction to Large Language Models LLM

Intro to AI Series: Introduction to Large Language Models LLM

Intro to AI Series: Introduction to Neural Networks

Intro to AI Series: Introduction to Neural Networks

Intro to AI Series: Advanced Topics in Neural Networks

Intro to AI Series: Advanced Topics in Neural Networks

Visualizing Turbulent Flow in the Army Research Combustor Midsize(ARC-M1)

Visualizing Turbulent Flow in the Army Research Combustor Midsize(ARC-M1)

Introduction to Visualization on Polaris

Introduction to Visualization on Polaris

Visualizing the Evolution of the Electron Fraction of a 23-Solar-Mass Star

Visualizing the Evolution of the Electron Fraction of a 23-Solar-Mass Star

ATPESC 2024 Application Webinar with Q&A

ATPESC 2024 Application Webinar with Q&A

Intro to AI Series: Intro to Artificial Intelligence on Supercomputers

Intro to AI Series: Intro to Artificial Intelligence on Supercomputers

Preparing to Battle Cancer at the Exascale

Preparing to Battle Cancer at the Exascale

ALCF AI Testbed Training: Benchmarking Models with MLAgility

ALCF AI Testbed Training: Benchmarking Models with MLAgility

ALCF AI Testbed Training: Accessing GroqRack at ALCF AI Testbed

ALCF AI Testbed Training: Accessing GroqRack at ALCF AI Testbed

ALCF AI Testbed Training: Groq Compiler™ Overview

ALCF AI Testbed Training: Groq Compiler™ Overview

ALCF AI Testbed Training: Groq Tensor Streaming Architecture

ALCF AI Testbed Training: Groq Tensor Streaming Architecture

ALCF AI Testbed Training: Welcome to Groq

ALCF AI Testbed Training: Welcome to Groq

ALCF AI Testbed Training: Porting Models with GroqFlow™

ALCF AI Testbed Training: Porting Models with GroqFlow™

ALCF AI Testbed Training: Intro to MLAgility™& GroqFlow™

ALCF AI Testbed Training: Intro to MLAgility™& GroqFlow™

ALCF AI Testbed Training: Large Language Models (LLMs) and Llama-2 7B Deep Dive

ALCF AI Testbed Training: Large Language Models (LLMs) and Llama-2 7B Deep Dive

ALCF AI Testbed Training: Groq Runtime

ALCF AI Testbed Training: Groq Runtime

ALCF AI Testbed Training: GroqWare Suite™ Developer Tools

ALCF AI Testbed Training: GroqWare Suite™ Developer Tools

ALCF AI Testbed Training: Large Context Windows on CS-2

ALCF AI Testbed Training: Large Context Windows on CS-2

ALCF AI Testbed Training: Model Definitions

ALCF AI Testbed Training: Model Definitions

ALCF AI Testbed Training: Training Large Language Models

ALCF AI Testbed Training: Training Large Language Models

ALCF AI Testbed Training: Using CS-2 at ALCF

ALCF AI Testbed Training: Using CS-2 at ALCF

ALCF AI Testbed Training: Cerebras Software and Programming

ALCF AI Testbed Training: Cerebras Software and Programming

ALCF AI Testbed Training: Demo: UNet for Computer Vision Applications

ALCF AI Testbed Training: Demo: UNet for Computer Vision Applications

ALCF AI Testbed Training: Review and Demo on Sparsity-Accelerated Training on CS-2

ALCF AI Testbed Training: Review and Demo on Sparsity-Accelerated Training on CS-2

ALCF AI Testbed Training: Value and Use Cases for Science

ALCF AI Testbed Training: Value and Use Cases for Science

ALCF AI Testbed Training: Deep Dive on Graph Neural Networks and LLMs

ALCF AI Testbed Training: Deep Dive on Graph Neural Networks and LLMs

ALCF AI Testbed Training: Using Bow Pod64@ ALCF

ALCF AI Testbed Training: Using Bow Pod64@ ALCF

ALCF AI Testbed Training: Software Stack: TensorFlow, PyTorch, and Poplar

ALCF AI Testbed Training: Software Stack: TensorFlow, PyTorch, and Poplar

ALCF AI Testbed Training: Graphcore BowPod64 Hardware

ALCF AI Testbed Training: Graphcore BowPod64 Hardware

ALCF AI Testbed Training: Profiling with PopVision

ALCF AI Testbed Training: Profiling with PopVision

ALCF AI Testbed Training: Porting Applications with Poplar

ALCF AI Testbed Training: Porting Applications with Poplar

ALCF AI Testbed Training: Graphcore BowPod64 Hardware

ALCF AI Testbed Training: Graphcore BowPod64 Hardware

Aurora Learning Path - Optimizing GPU Memory Allocation and Movement using SYCL

Aurora Learning Path - Optimizing GPU Memory Allocation and Movement using SYCL

SYCL Work Group Mapping and GPU Occupancy Calculation

SYCL Work Group Mapping and GPU Occupancy Calculation

Interactive High-Performance Computing with ALCF JupyterHub

Interactive High-Performance Computing with ALCF JupyterHub

Hands-on Breakout Session 1 - I/O libraries for Parallel Performance

Hands-on Breakout Session 1 - I/O libraries for Parallel Performance

Hands-on Breakout Session 3 - Darshan

Hands-on Breakout Session 3 - Darshan

DAOS is Your Future

DAOS is Your Future

Visualization: From Data to Insight and Communication

Visualization: From Data to Insight and Communication

File Systems and Sharing

File Systems and Sharing

Workflows

Workflows

Integrated Research Infrastructure

Integrated Research Infrastructure

Next Steps - Yasaman Ghadar

Next Steps - Yasaman Ghadar

Overview of TAU - Sameer Shende

Overview of TAU - Sameer Shende

Calculations of Nuclear Ground States Using Artifical Neural Networks

Calculations of Nuclear Ground States Using Artifical Neural Networks

Python, Jupyter Notebook, and Containers

Python, Jupyter Notebook, and Containers

Deep Learning Frameworks

Deep Learning Frameworks

Distributed Deep Learning

Distributed Deep Learning

AI Testbeds - Murali Emani

AI Testbeds - Murali Emani

Large Language Models on Polaris

Large Language Models on Polaris

Integrating AI and Simulation

Integrating AI and Simulation

Overview of NVIDIA Tools - Matt Stack

Overview of NVIDIA Tools - Matt Stack

Overview of THAPI and iprof

Overview of THAPI and iprof

Overview of HPCToolkit

Overview of HPCToolkit

Hands on Breakout Rooms - Session 2 - NVIDIA Tools

Hands on Breakout Rooms - Session 2 - NVIDIA Tools

Hands on Breakout Rooms Session 6 - Deep Learning Frameworks and Distributed Deep Learning Python

Hands on Breakout Rooms Session 6 - Deep Learning Frameworks and Distributed Deep Learning Python

Programming Models: Kokkos/Raja

Programming Models: Kokkos/Raja

Programming Models: CUDA

Programming Models: CUDA

ALCF Allocations Programs

ALCF Allocations Programs

Math Libraries on Polaris,

Math Libraries on Polaris,

Hands on Breakout Rooms - Session 1 - OpenMP - Colleen Bertoni & Ye Luo

Hands on Breakout Rooms - Session 1 - OpenMP - Colleen Bertoni & Ye Luo

Programming Models: SYCL

Programming Models: SYCL

Programming Models: OpenMP

Programming Models: OpenMP

From Polaris to Aurora Overview of Hardware and Software - Brian Homerding

From Polaris to Aurora Overview of Hardware and Software - Brian Homerding

Keynote Talk - Path to Exascale Material Simulation - Ye Luo

Keynote Talk - Path to Exascale Material Simulation - Ye Luo

Hands on Breakout Rooms: Kokkos/Raja

Hands on Breakout Rooms: Kokkos/Raja

Hands on Breakout Rooms - Session 4 - CUDA and CUDA Fortran - Matt Stack

Hands on Breakout Rooms - Session 4 - CUDA and CUDA Fortran - Matt Stack

Optimizing Workloads on Aurora and Sunspot Examples with SYCL Application

Optimizing Workloads on Aurora and Sunspot Examples with SYCL Application

MPI on Aurora and Sunspot – Examples and Best Practices

MPI on Aurora and Sunspot – Examples and Best Practices

ALCF AI Testbed Training: Modeling: SambaTune

ALCF AI Testbed Training: Modeling: SambaTune

ALCF AI Testbed Training: SambaTune

ALCF AI Testbed Training: SambaTune

ALCF AI Testbed Training: LLMs on SambaNova

ALCF AI Testbed Training: LLMs on SambaNova

ALCF AI Testbed Training: Getting Started on SambaNova DataScale SN30

ALCF AI Testbed Training: Getting Started on SambaNova DataScale SN30

ALCF AI Testbed Training: Modeling: PyTorch to SambaFlow

ALCF AI Testbed Training: Modeling: PyTorch to SambaFlow

ALCF AI Testbed Training: SambaFlow Runtime Overview

ALCF AI Testbed Training: SambaFlow Runtime Overview

ALCF AI Testbed Training: SambaFlow Compiler

ALCF AI Testbed Training: SambaFlow Compiler

ALCF AI Testbed Training: SambaNova DataScale SN30 Overview

ALCF AI Testbed Training: SambaNova DataScale SN30 Overview

Getting Started Bootcamp

Getting Started Bootcamp

An Overview of Aurora's Hardware and Software

An Overview of Aurora's Hardware and Software

Part Two: How to Use Jupyter Notebooks on Polaris

Part Two: How to Use Jupyter Notebooks on Polaris

Part One: How to Compile Code on Polaris

Part One: How to Compile Code on Polaris

Part Four: Using Python Modules on Polaris

Part Four: Using Python Modules on Polaris

Part Three: Using Python Modules on Polaris

Part Three: Using Python Modules on Polaris

Part Two: Using Python Modules on Polaris

Part Two: Using Python Modules on Polaris

Part One: Using Python Modules on Polaris

Part One: Using Python Modules on Polaris

Part Two: Profiling Compiled Codes on Polaris

Part Two: Profiling Compiled Codes on Polaris

Part One: Profiling Compiled Codes on Polaris

Part One: Profiling Compiled Codes on Polaris

Part Five: How to Submit a Job on Polaris

Part Five: How to Submit a Job on Polaris

Part Four: How to Submit a Job on Polaris

Part Four: How to Submit a Job on Polaris

Part Three: How to Submit a Job on Polaris

Part Three: How to Submit a Job on Polaris

Part Two: How to Submit a Job on Polaris

Part Two: How to Submit a Job on Polaris

Part One: How to Submit a Job on Polaris

Part One: How to Submit a Job on Polaris

Part Three: How to Compile Code on Polaris

Part Three: How to Compile Code on Polaris

Part Two: How to Compile Code on Polaris

Part Two: How to Compile Code on Polaris

Part One: How to Compile Code on Polaris

Part One: How to Compile Code on Polaris

Essential Environment Commands for Polaris

Essential Environment Commands for Polaris

A Tale of Two Apps: Preparing XGC and HACC to run on Aurora

A Tale of Two Apps: Preparing XGC and HACC to run on Aurora

Fly-Through of Aurora

Fly-Through of Aurora

Module 1: Aggregations, universal functions, and broadcasting

Module 1: Aggregations, universal functions, and broadcasting

2024 INCITE Webinar #2 - May 2, 2023

2024 INCITE Webinar #2 - May 2, 2023

Workflow Software for Managing Large-Scale Job Campaigns at ALCF

Workflow Software for Managing Large-Scale Job Campaigns at ALCF

Migrating more complex CUDA source with the SYCLomatic Tool

Migrating more complex CUDA source with the SYCLomatic Tool

Accelerate Python Loops with the Intel AI Analytics Toolkit

Accelerate Python Loops with the Intel AI Analytics Toolkit

Powering Catalysis Research with Argonne's Aurora Exascale Supercomputer

Powering Catalysis Research with Argonne's Aurora Exascale Supercomputer

Mapping the Human Brain with Argonne's Aurora Exascale Supercomputer

Mapping the Human Brain with Argonne's Aurora Exascale Supercomputer

Propelling Aircraft Design with Argonne's Aurora Exascale Supercomputer

Propelling Aircraft Design with Argonne's Aurora Exascale Supercomputer

Advancing Fusion Energy Research with Argonne's Aurora Exascale Supercomputer

Advancing Fusion Energy Research with Argonne's Aurora Exascale Supercomputer

Introduction to Using the SYCLomatic Tool and Compiling/Executing SYCL code on Intel Dev Cloud

Introduction to Using the SYCLomatic Tool and Compiling/Executing SYCL code on Intel Dev Cloud

ATPESC 2023 Application Webinar - ECP BoF Days

ATPESC 2023 Application Webinar - ECP BoF Days

CUDA to SYCL Migration Tool and Method

CUDA to SYCL Migration Tool and Method

Module 3: K-Means Algorithm and GPairs Algorithm Using Data Parallel Essentials for Python

Module 3: K-Means Algorithm and GPairs Algorithm Using Data Parallel Essentials for Python

Debugging GPU Accelerated Applications with NVIDIA Developer Tools

Debugging GPU Accelerated Applications with NVIDIA Developer Tools

Aurora Supercomputer Update from Argonne National Laboratory

Aurora Supercomputer Update from Argonne National Laboratory

Advanced AI Architectures and Methods

Advanced AI Architectures and Methods

Essentials of Intel Extensions for Scikit-Learn Part 1: CPU Focus

Essentials of Intel Extensions for Scikit-Learn Part 1: CPU Focus

Transformational science: Aurora and the upgraded Advanced Photon Source

Transformational science: Aurora and the upgraded Advanced Photon Source

Building a computing environment for data-intensive science

Building a computing environment for data-intensive science

Advancing climate modeling

Advancing climate modeling

Using Argonne’s HPC and AI resources to combat COVID-19

Using Argonne’s HPC and AI resources to combat COVID-19

ATPESC 2022 2a.8 OpenMP: Programming your GPU with OpenMP | A brief introduction | Tim Mattson

ATPESC 2022 2a.8 OpenMP: Programming your GPU with OpenMP | A brief introduction | Tim Mattson

ATPESC 2022 2a.6 OpenMP: Worksharing revisited and mutual exclusion synchronization | Tim Mattson

ATPESC 2022 2a.6 OpenMP: Worksharing revisited and mutual exclusion synchronization | Tim Mattson

ATPESC 2022 8.1 Machine Learning Statistical Methods | Sam Foreman

ATPESC 2022 8.1 Machine Learning Statistical Methods | Sam Foreman

ATPESC 2022 1.1 Hardware Architectures Introduction | Vitali Morozov

ATPESC 2022 1.1 Hardware Architectures Introduction | Vitali Morozov

ATPESC 2022 1.5 Training Deep Learning Models on Habana Gaudi | Milind Pandit

ATPESC 2022 1.5 Training Deep Learning Models on Habana Gaudi | Milind Pandit

ATPESC 2022 5.2b Unstructured Meshes with MFEM/PUMI | A. Fisher, M. Shephard, C. Smith

ATPESC 2022 5.2b Unstructured Meshes with MFEM/PUMI | A. Fisher, M. Shephard, C. Smith

ATPESC 2022 4.8 Exploring Visualization with Jupyter Notebooks, Part 2 | Cyrus Harrison

ATPESC 2022 4.8 Exploring Visualization with Jupyter Notebooks, Part 2 | Cyrus Harrison

ATPESC 2022 5.4a Nonlinear Solvers with PETSc | Richard Tran Mills

ATPESC 2022 5.4a Nonlinear Solvers with PETSc | Richard Tran Mills

ATPESC 2022 1.4 SW defined Machine Learning with Groq’s Tensor Streaming Processor | Andrew Ling

ATPESC 2022 1.4 SW defined Machine Learning with Groq’s Tensor Streaming Processor | Andrew Ling

ATPESC 2022 2c.2 Kokkos | Damien Lebrun Grandie

ATPESC 2022 2c.2 Kokkos | Damien Lebrun Grandie

ATPESC 2022 3.11 Understanding and Tuning HPC I/O performance | Shane Snyder

ATPESC 2022 3.11 Understanding and Tuning HPC I/O performance | Shane Snyder

ATPESC 2022 6.3 Intel oneAPI Analyzers | Kevin O'Leary

ATPESC 2022 6.3 Intel oneAPI Analyzers | Kevin O'Leary