Honnappa Nagarahalli (Arm)'s DPDK Summit NA talk breaks down packet data flow challenges in chiplet-based SoCs, focusing on latency issues and optimization opportunities for packet processing. Watch his talk and find all DPDK Summit NA sessions on our YouTube channel: https://lnkd.in/g-j2UsB3 Highlights: 🎯 Latency in chiplet SoCs due to separate compute and I/O dies 🎯 Complexity of cache snoops and DMA transfers across dies 🎯 Cache stashing as a potential optimization in future designs #dpdksummit #networking #opensource
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Wathsala Vithanage and Honnappa Nagarahalli (Arm) presented an insightful talk at DPDK Summit NA, introducing an API for cache stashing and its role in optimizing data flow in PCIe-based systems. Their session highlights how leveraging cache hierarchies can significantly improve packet processing efficiency. Watch their talk: https://lnkd.in/gAXafSjP Highlights: ➡ Directing packet data to specific cache levels for lower latency ➡ Benefits of TLP processing hints in advanced NICs ➡ Hardware and software alignment challenges for cache stashing #dpdksummit #networking #opensource
Analyzing Packet Data Flow in Chiplet Based SoCs - Honnappa Nagarahalli, Arm
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🚨 Part 3 is now live - learn how to process PCAPs with Suricata in the #FLAREVM to generate alerts and other network data 👇 https://lnkd.in/gT7SzTsR
03 - Processing PCAPs in Offline Mode
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QSAN XF5226 - with μs-level latency, excels in meeting the responsiveness needs of the most challenging enterprise applications. The XF5226 is ideal for modern applications including AI model training, real-time database, HPC [email protected] (High-Performance Computing), and high-speed backup alike. https://lnkd.in/gUBMdzfh
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With computer vision at the loading dock, you can catch—and fix—loading errors as they happen. See how: https://mykargo.cc/3zc61nm
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Not everyone understands this, but this will definitely make you stand out 💯 Things you should monitor in your system ❓ 1. Swap Memory 2. Heap Memory 3. Machine Memory 4. Gc runs 5. File Descriptors 6. Networks bytes in and out 7. CPU (Min, Average, Max) 8. Thread metrics (Contention/Deadlock) 9. Request Latency at application level (P99, P95, Average) 10. Latency of Operation at Cache/Database level (P99, P95, Average) 11. 5xx/4xx on application 12. Request Count per target/container/Overall 13. Disk Space 14. Disk IOPS 15. Disk throughput 16. Continuous Profiling (Memory Dumps) 17. Telemetry Data (Spans/Traces for time spent in functions) 18. Data Transfer (Bytes on the network for APIs) What would you add ? Follow Arpit Adlakha for more !
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Understanding the Central Processing Unit (CPU): The Brain of the Computer https://lnkd.in/gqyY8rf8
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Not everyone understands this, but this will definitely make you stand out 💯 Things you should monitor in your system ❓ 1. Swap Memory 2. Heap Memory 3. Machine Memory 4. Gc runs 5. File Descriptors 6. Networks bytes in and out 7. CPU (Min, Average, Max) 8. Thread metrics (Contention/Deadlock) 9. Request Latency at application level (P99, P95, Average) 10. Latency of Operation at Cache/Database level (P99, P95, Average) 11. 5xx/4xx on application 12. Request Count per target/container/Overall 13. Disk Space 14. Disk IOPS 15. Disk throughput 16. Continuous Profiling (Memory Dumps) 17. Telemetry Data (Spans/Traces for time spent in functions) 18. Data Transfer (Bytes on the network for APIs) What would you add ? Follow Rahul HM for more !
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It's a Wrap top - free pattern http://bit.ly/2kHMYus
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