arXiv (All)
open access
PANEM: A Heuristic Latency Model
Accurate pre-silicon memory modeling is essential for achieving meaningful representation of workloads on cloud-class many-core processors. Existing options force a poor tradeoff between fidelity and speed: fixed-latency models are fast but misleading, while cycle-accurate DRAM models are costly and
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
- Non-Uniform L2 Cache Latency Across the Streaming Multiprocessors of an NVIDIA L40#299844
- Empirical Analysis of GPU Frequency Behavior Under ML Workloads#353030
- Self-Orchestrating Language Models: Leveraging Semantic Dependence for Efficient Inference#1084765
- FinCUABuild: Can Agents Build Reliable Benchmarks for Dynamic Financial Computer Use?#984514
- NOSA: Native and Offloadable Sparse Attention#1129124
Record · ID 1077557
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