devwithjevCUDA Kernel-Lens Performance Extension
Gaurav built a CUDA Kernel-Lens extension that works with VSCode using Jev. It surfaces performance signals while writing kernels, before compiling, profiling, or consulting a coding agent, and highlights segments with strided memory access or repeated loads of reusable operands from global memory.
Gaurav@gauravisnotme๐
Took JEV for a spin this weekend and built (read vibed) this CUDA Kernel-Lens extension (works with VSCode). The idea is simple - get performance signals right where you are writing the kernel - before compiling, profiling or asking a coding agent to chime in. It highlights segments where the code is plagued with strided memory access, repeatedly loading reusable operands from the global memory, b
Also filed under Tools & apps
- Jev Auth Event Auditing and Alert Telemetry
It provides shadow-mode Jev authn/authz event auditing and alert telemetry for OAuth2 and IAM.
- Ask Questions About Git History
HekaJev lets users ask questions about Git history in plain English. The open-source tool is built using Jev.
- Local Jev-Compatible Decision-Model Runner
ollaya is a local decision-model runner with a Jev-compatible System One API.
- Open Jev-Style Decision Model
JevAny is an open Jev-style model and training stack for typed decisions and option probabilities.