# Event Details

- **Event Name**: NVIDIA DLI: Fundamentals of Accelerated Computing with CUDA Python - AState
- **Event Start and End Date**: Thu, 05 Mar, 2026 at 10:00 am – Thu, 05 Mar, 2026 at 05:00 pm
- **Event Description**: Learn how to use Numba—the just-in-time Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs.About this EventThis NVIDIA Deep Learning Institute (DLI) course explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs. You’ll learn how to: · Use Numba to compile CUDA kernels from NumPy universal functions (ufuncs) · Use Numba to create and launch custom CUDA kernels · Apply key GPU memory management techniques Upon completion, you’ll be able to use Numba to compile and launch CUDA kernels to accelerate your Python applications on NVIDIA GPUs.Dr. Recep Erol, one of two NVIDIA Deep Learning Institute ambassadors for the state of Arkansas, will lead this workshop. NVIDIA DLI certificates are awarded to all participants who pass the assessment test at the end of the workshop. There are 45 seats available for this workshop.Learning ObjectivesAt the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba:GPU-accelerate NumPy ufuncs with a few lines of code.Configure code parallelization using the CUDA thread hierarchy.Write custom CUDA device kernels for maximum performance and flexibility.Use memory coalescing and on-device shared memory to increase CUDA kernel bandwidth.Topics CoveredNumbaLocationArkansas State UniversityArkansas Biosciences Institute (ABI), Rm 107504 University Loop, Jonesboro, AR 72401Course OutlineIntroduction to CUDA Python with NumbaBegin working with the Numba compiler and CUDA programming in Python.Use Numba decorators to GPU-accelerate numerical Python functions.Optimize host-to-device and device-to-host memory transfers.Custom CUDA Kernels in Python with NumbaLearn CUDA’s parallel thread hierarchy and how to extend parallel program possibilities.Launch massively parallel custom CUDA kernels on the GPU.Utilize CUDA atomic operations to avoid race conditions during parallel execution.Multidimensional Grids, and Shared Memory for CUDA Python with NumbaLearn multidimensional grid creation and how to work in parallel on 2D matrices.Leverage on-device shared memory to promote memory coalescing while reshaping 2D matrices.Final ReviewReview key learnings and wrap up questions.Complete the assessment to earn a certificate.Take the workshop survey.
- **Event URL**: https://allevents.in/jonesboro/nvidia-dli-fundamentals-of-accelerated-computing-with-cuda-python-astate/100001982549149876
- **Event Categories**: Workshops, Sports
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket URL**: https://consumer.pxf.io/c/1339408/3151484/39691?partnerpropertyid=1191892&MediaPartnerPropertyId=1191892&svlink=14105511&level=1&u=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Fnvidia-dli-fundamentals-of-accelerated-computing-with-cuda-python-astate-tickets-1982549149876
- **Ticket Price Range**: min: 0, max: 0, currency: USD

## Event venue details

- **city**: Jonesboro
- **state**: AR
- **country**: United States
- **location**: 504 University Loop
- **lat**: 35.8443636
- **long**: -90.6720244
- **full address**: 504 University Loop, 504 University Loop, Jonesboro, United States

## Event Organizer details

- **affiliate_id**: 10
- **organizer**: Arkansas High Performance Computing Center (https://allevents.in/org/arkansas-high-performance-computing-center/24895002)

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## FAQs

- **Q**: When is the event happening?
  - **A:** Thu, 05 Mar, 2026 at 10:00 am
- **Q**: Where is the event happening?
  - **A:** 504 University Loop, 504 University Loop, Jonesboro, United States
- **Q**: What is the ticket price?
  - **A:** starting from 0 up to 0 USD
- **Q**: Who is organizing the event?
  - **A:** Arkansas High Performance Computing Center
- **Q**: What type of event is this?
  - **A:** Workshops, Sports
- **Q**: Where can I find ticket details about NVIDIA DLI: Fundamentals of Accelerated Computing with CUDA Python - AState ?
  - **A:** You can find ticket details about this event on AllEvents.

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