Kade Heckel
Researcher focusing on high-performance computing for neural networks (JAX, Pallas). Creator of Spyx, a JAX-based spiking neural network library.
Kade Heckel
Kade Heckel is a researcher and developer focusing on high-performance computing for neural networks, with expertise in JAX and related optimization tools like Pallas. He is the creator of Spyx, a JAX-based spiking neural network library.
Contributions
Blog Posts
- Spiking Neural Network (SNN) Library Benchmarks
August 2, 2023
Discover the fastest Spiking Neural Network (SNN) frameworks for deep learning-based optimization. Performance, flexibility, and more analyzed in-depth
Workshops
- Spyx Hackathon: Speeding up Neuromorphic Computing
December 13, 2023 at 18:00 - 20:00 CEST
Explore the power of Spyx in a hands-on hackathon session and dive into the world of neuromorphic frameworks with Kade Heckel.
Hacking Hour Sessions
- Kade Heckel: Optimizing GPU/TPU code with JAX and Pallas
October 15, 2024 at 18:00 - 19:45 CET
Kade Heckel discusses optimizing GPU/TPU code using JAX and Pallas in this Hacking Hour session.