Sign up to save your podcasts
Or
Share SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions
## Episode Summary
In this episode, we cover:
- **SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions** (arXiv)
- **The Price of Anarchy in Disaggregated Inference** (arXiv)
- **RISC-V Mentorship Taught Me the RISC-V ISA Is Far More Than a Reference Manual** (riscv_news)
- **One ISA, Infinite Use Cases: RISC-V and the Road to Workload-Specific Silicon** (riscv_news)
- **RISC-V set to announce 25% market penetration — open-standard ISA is ahead of schedule, securing fast-growing silicon footprint - Tom's Hardware** (google_riscv)
---
*Sponsored by LimitLess AI*
View all episodes
By Condor Computing## Episode Summary
In this episode, we cover:
- **SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions** (arXiv)
- **The Price of Anarchy in Disaggregated Inference** (arXiv)
- **RISC-V Mentorship Taught Me the RISC-V ISA Is Far More Than a Reference Manual** (riscv_news)
- **One ISA, Infinite Use Cases: RISC-V and the Road to Workload-Specific Silicon** (riscv_news)
- **RISC-V set to announce 25% market penetration — open-standard ISA is ahead of schedule, securing fast-growing silicon footprint - Tom's Hardware** (google_riscv)
---
*Sponsored by LimitLess AI*