Whileone Tech Space

Modern compute platforms - from cloud hyperscale CPUs to edge processors - deliver unprecedented parallelism and instruction-set capabilities. But to truly understand performance, you need the right benchmarking tools. Whether you're comparing cloud instances, evaluating Arm-based servers like Ampere , or validating x86, RISC-V, or AI-accelerated hardware, the ecosystem offers several battle-tested frameworks. In this blog, we explore the most widely-used CPU benchmarking too

In the first part of the blog, we described the problem that we intend to solve, the data gathering, post processing, and generating the final training data. In the 2nd part, we will take a look at the Machine Learning model we used for training and for inference with new data. Correlation between various counters We have captured various counters for various benchmarks. Here is a graph that shows the correlation between each counter with every other counter. ​ K Neighbors Re

This blog is the first part of the series in "Server Performance Prediction using Machine Learning Models" OVERVIEW: In the semiconductor industry, a Silicon Cycle takes nearly a year or more from conception to the silicon being available. As soon as the concept comes in, there is immense pressure on the marketing and sales teams to come up with performance numbers for this new generation of the silicon i.e. processor. There is a need for a way to find out what the score coul