Intel® Xeon® Performance Tuning and Solutions
Published: 03/19/2021
Last Updated: 08/31/2021
AI | 
Data Analytics | 
Databases | 
HPC | 
Media | 
Web-Tier
These tuning guides provide guidance on the BIOS, Operating System and workload/benchmark settings to get the most out of Intel platforms with server workloads. These guides are designed for people who are already familiar with the workload and are looking for system settings that will improve performance. These workload tuning guides provides a launch point for developers and systems integrators to leverage for further tuning.
AI
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Deep Learning Optimization (English) |
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Deep Learning Optimization (Chinese) |
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Data Analytics
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KVM* |
Databases
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Redis* (English) |
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Redis* (Chinese) |
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RocksDB* (English) |
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RocksDB* (Chinese) |
Download (Coming Soon!) |
HPC
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Media
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Web-Tier
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NGINX* - Crypto (English) |
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NGINX* - Crypto (Chinese) |
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NGINX* - QAT (English) |
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NGINX* - QAT (Chinese) |
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AI workloads
- TensorFlow*
- Getting Started with Intel® Optimization for MXNet*
- Code Sample: Intel® Deep Learning Boost New Deep Learning Instruction bfloat16 - Intrinsic Functions
General Intel® Architecture tuning guides
- Intel Architecture Reference Manuals
- Tuning Guides and Performance Analysis Papers
- Automated SKU Selection for Intel® Xeon® Processors through Machine Learning
Additional resources
- 3rd Gen Intel® Xeon® Processor Scalable Processor Technical Overview
- Build an Intel®-Based Cluster with OpenHPC* 2.0 on CentOS* 8
Feedback
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Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.