DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance episode artwork

EPISODE · Apr 17, 2026

DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance

from Condor Currents

## Episode Summary In this episode, we cover: - **DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance** (arXiv) - **CUTEv2: Unified and Configurable Matrix Extension for Diverse CPU Architectures with Minimal Design Overhead** (arXiv) - **Codasip RISC-V sale fuels speculation GlobalFoundries could be expanding its processor ambitions - MSN** (google_riscv) - **Introduction to RISC-V Instruction Set Architecture - Astute Group** (google_arch) - **CacheMind turns chip tuning into a conversation, exposing hidden cache failures and lifting processor performance - Tech Xplore** (google_arch) --- *Sponsored by LimitLess AI*

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DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance

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