arXiv (All)
open access
PASCAL: A Phase-Aware Shared-Cache Model for Parallel Scans
In modern AI Accelerators and GPGPUs, many concurrent cores repeatedly access the same shared data. This pattern occurs in attention, where different query tiles share the same K/V block, GEMM, where every tile in a row reads the same panel, and many other operators. We name this pattern parallel sc
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
- PASCAL: A Phase-Aware Shared-Cache Model for Parallel Scans#673480
- Distributed Caching for Complex Querying of Raw Arrays#620099
- SR-Gadgets: Make Scan-Resistant Caching Practical#1104667
- Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench#972485
- Load Balancing with Partial Queue Information - Threshold Optimality and Indexability#1064763
Record · ID 997387
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive