Bryce Adelstein Lelbach
Employers on the program
- 2024–2026NVIDIA4 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- PyCon (national Python conferences)
- SciPy Conference (Scientific Computing with Python)
- EuroPython
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 17, 2026 | PyCon TW 2026 | PyCon (national Python conferences) | keynote | The Insight Factory | |
| Jul 13, 2026 | EuroPython 2026 | EuroPython | talk | GPU Programming in Pure Python as NVIDIA GPU programming can be scary, but doesn't need to be! Did you know you can access the full performance of CUDA purely in Python? | Video |
| Jul 13, 2026 | SciPy 2026 | SciPy Conference (Scientific Computing with Python) | speaker | Profiling Python GPU CodeYour GPU is fast, so why does your Python code still feel slow? This talk shows a practical, Python-first profiling workflow with Nsight Systems, Nsight…Show lessYour GPU is fast, so why does your Python code still feel slow? This talk shows a practical, Python-first profiling workflow with Nsight Systems, Nsight Compute, and NVTX for CuPy, Numba, PyTorch, JAX, and CUDA extensions. | |
| Jul 7, 2025 | SciPy 2025 | SciPy Conference (Scientific Computing with Python) | speaker | cuTile, the New/Old Kid on the Block: Python Programming Models for GPUs as NVIDIA Block-based programming divides inputs into local arrays that are processed concurrently by groups of threads. Users write sequential array-centric code, and…Show lessBlock-based programming divides inputs into local arrays that are processed concurrently by groups of threads. Users write sequential array-centric code, and the framework handles parallelization, synchronization, and data movement behind the scenes. | |
| May 14, 2025 | PyCon US 2025 | PyCon (national Python conferences) | speaker | GPU Programming in Pure Python as NVIDIA GPU programming can be scary but doesn’t need to be. With the CUDA Core Libraries and CUDA Python object model, you have a friendly interface to get you started…Show lessGPU programming can be scary but doesn’t need to be. With the CUDA Core Libraries and CUDA Python object model, you have a friendly interface to get you started with GPU acceleration. | Video |
| Nov 6, 2024 | PyData NYC 2024 | PyData | speaker | Accelerating GPU Algorithms in pure Python as NVIDIA GPU programming can be scary but doesn’t need to be. With the CUDA Core Libraries and CUDA Python object model, you have a friendly interface to get you started…Show lessGPU programming can be scary but doesn’t need to be. With the CUDA Core Libraries and CUDA Python object model, you have a friendly interface to get you started with GPU acceleration. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Jacob Tomlinson | 3 | — | 2026 |
| Katrina Riehl | 3 | — | 2026 |
| Leah Wasser | 3 | — | 2026 |
| Aarti Jha | 2 | — | 2026 |
| Carlos A Aranibar | 2 | — | 2026 |
| Charles Turner | 2 | — | 2026 |
| Chirag Shah | 2 | — | 2026 |
| Daniel Chen | 2 | — | 2026 |
| Eniola Awowale | 2 | — | 2026 |
| Eric Ma | 2 | — | 2026 |
| Evan Kohilas | 2 | — | 2026 |
| Filippo Balzaretti | 2 | — | 2026 |
| Gil Forsyth | 2 | — | 2026 |
| Hynek Schlawack | 2 | — | 2026 |
| Ian Hunt-Isaak | 2 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.