#PersistentMemory

[innovatexblog]

💾 Data Center Memory Just Leveled Up: RAM Tiering & Storage Class Memory Explained! 🧠⚡

Wondering how top-tier data centers are managing explosive data growth in 2025? It’s not just faster CPUs—it’s smarter memory! 🚀

Our latest post breaks down the game-changing role of RAM tiering and Storage Class Memory (SCM) in modern enterprise architecture. From blazing-fast access to scalable memory layers, see how technologies like CXL and persistent memory are transforming performance, efficiency, and cost.

📘 Perfect for IT pros, cloud architects, and anyone curious about the future of enterprise memory systems.

🔗 Read now and stay ahead in the speed race!

[prashantgujjar]

How can I use FILTFILT function on DFILT objects in the Signal Processing Toolbox 6.12(R2009b)?

I have created a filter using FDATOOL. When I export the filter to the workspace, it is stored as a DFILT object. When I extract the numerator and denominator of this object and pass them as arguments to FILTFILT, I receive unexpected results due to loss of numerical precision in converting the SOS matrix to a transfer function.

How may I use FILTFILT with a DFILT object without losing precision?

ANSWER

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This enhancement has been incorporated in Release 2011a (R2011a). For previous product releases, read below for any possible workarounds:

 The ability to use FILTFILT with DFILT objects is not available in Signal Processing Toolbox. 

To work around this issue, use the following steps. The key is to work the SOS structure to retain numerical precision

1) Set the 'PersistentMemory' attribute to true for the DFILT object. 2) Depending on your need, you may want to define certain initial states for the filter. Additionally, you may choose to expand the input signal to flush out the transients in the end. For details, please consult the references listed in the following document: 3) Filter the input using FILTER:      filter(dfiltobj,filt_input)

SEE COMPLETE ANSWER CLICK THE LINK

https://www.matlabsolutions.com/resources/how-can-i-use-filtfilt-function-on-dfilt-objects-in-the-signal-processing-toolbox-6-12-r2009b-.php

[nurullashaikh]

Persistent Memory magic in Exadata

What's PMEM? Christian Craft explains how it works with RDMA in Oracle Exadata to create #PersistentMemory magic:

Persistent Memory magic in Exadata

Learn how RDMA is used over Converged Ethernet with PMEM on Oracle Exadata

Oracle Champions

[innovatexblog]

🚀 The Future of Memory is Already Here From MRAM to ReRAM, FRAM to NRAM—a new wave of non-volatile memory is set to revolutionize how we store and access data. 🔋⚡

These advanced memory technologies deliver ultra-fast speed, endurance, and energy efficiency—making them essential for AI, IoT, mobile, and edge computing.

✨ Dive into the blog to explore: ✅ How each memory type works ✅ Why they're better than traditional DRAM/NAND ✅ Where the tech is heading next

💡 Perfect for tech lovers, hardware engineers, and future-focused minds.

[innovatexblog]

💾 Persistent Memory & CXL: The Future of Data Speed and Scalability 🚀

Traditional DRAM can’t keep up with today’s data demands — but Persistent Memory (PMem) and Compute Express Link (CXL) are changing the game. 🧠⚡

In this deep-dive blog, we explore how: ✔ Persistent Memory bridges the gap between storage and RAM ✔ CXL enables smarter, faster, and shared memory architecture ✔ These technologies are shaping the next era of computing

Whether you're into cloud computing, AI workloads, or system design — this is a breakthrough you need to know.

📲 Tap the link and future-proof your knowledge!