Conceptio › Archive › arXiv (OAI Expanded)
arXiv (OAI Expanded) open access

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures

Yang, Peiming et al.
arXiv (OAI Expanded) · Papers
Open Source ↗Direct PDF ↓
and-cluster-computingdistributedhardware-architecturemachine-learningparallelperformance
High-performance Host processors can integrate Processing-In-Memory (PIM) devices, which can accelerate memory-intensive kernels of Machine Learning (ML) models, including Large Language Models (LLMs), by leveraging the large memory bandwidth available at PIM cores. However, Host processor needs con
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 788673
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive