Synopsys Users Group (SNUG)’s Post

This week at #SC24, Synopsys showcased the world's first multi-vendor CXL IP interop demo and shared how real-time silicon-level data can improve digital twin simulations: https://bit.ly/3YZlhNR   Learn what was presented and how we're advancing software-defined, silicon-optimized data centers in our latest blog post. 👆

Upgrade Your Data Acquisition with NI mioDAQ! Whether you're in R&D, testing, or automation, mioDAQ delivers accuracy and flexibility. Don't miss out—discover how it can elevate your measurements! #DAQisBack #DataAcquisition #Automation #Testing #Engineering #USBDAQ

Specialized Hardware for Brain-Computer Interfaces: Overcoming Data Bottlenecks

In case you missed it, we have a new DAS1800 page to give you a deep dive look into our new high speed data acquisition system! Click on the link below to learn more about this highly configurable DAQ solution featuring 10 slots for input modules and an all new user interface. https://lnkd.in/geCsg423 #ModularDAQ #DAS #DAQ #HighSpeedDataAcquisition

Learn how to configure your XP20 sensor in Expanse for all your data needs! #techtuesday

I was Clear To Send, Data Terminal Ready, Spooling some bytes to my Olivetti, My flow, controlled, With parity none, No XON, XOFF to spoil the fun, UART what you eat, Bad checksum? Repeat, We'll resend those bytes, Until transfer completes.

Juniper Apstra's Flow Data feature is a robust, multi-vendor solution for collecting and analyzing data center network flow traffic. Learn more about this solution’s impressive threat-detection capability in this demo.

To design an execution engine, we need to think about 3 things: 1️⃣ Driving Execution; 2️⃣ Operator Parallelism; 3️⃣ Synchronizing Data Flow After deciding on the driving execution, we move on Operator Parallelism. When considering performance, we need to examine how operators can be parallelized, using either partition-driven or morsel-driven parallelism. In partition-driven parallelism, partitions are predefined in the execution plan, with a fixed number of partitions, and repartitioning requires an exchange operator. By contrast, morsel-driven parallelism allows for dynamic partitioning, where data is read incrementally, the number of morsels depends on the data size, and operators can control their own level of parallelism. In the final ~30 seconds, we discuss the trade-offs between partitions and morsels, focusing on load balancing and CPU utilization. Watch the full talk: https://lnkd.in/gpNfwcBE

#SC24 attendees, are you prepared to revolutionize your data centers? Visit GRC at booth 1845 to see the future of immersion cooling: iDLC Technology. Discover how this groundbreaking advancement in single-phase immersion merges the efficiency and dependability of conventional immersion with the exceptional cooling power of targeted flow heat sinks -- designed by Intel Corporation -- all within a unified system. The outcome? Virtually boundless cooling potential for today and the future. #immersioncooling