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3.1 min read

Can my code be accelerated by an RPU?


In today’s fast-paced world, having the right tools can make all the difference. With the constant demands of work and daily life, time is a precious commodity, and every minute counts. We at Quside are thrilled to introduce our Randomness Processing Unit (RPU), a brand-new device designed to make your life easier and more efficient when dealing with stochastic workloads. Quside’s RPUs are perfect for anyone who deals with these kinds of workloads in their day-to-day and is looking to streamline their daily routine and take their productivity to the next level.

We designed the RPU with the latest features and functions to meet the current and future demands of the industry while also being easy to use and integrate within your existing codebase and workflows. However, as a hardware accelerator, the RPUs are better suited for a given set of workloads.

Assessing whether RPUs are helpful for you is critical, as they can significantly impact your workflow and productivity. That’s why we at Quside are here to help.

First and foremost, does your workload depends heavily on sampling from probability distributions? If so, our brand-new RPUs are probably a perfect fit for you. We at Quside have designed our RPUs to excel in performance, quality, and ease of use, making sampling from probability distributions a straightforward process. With Quside’s RPUs, you can quickly generate random numbers from various probability distributions, including normal, uniform, and logarithm distributions, with minimal changes to your codebase. By automating this process, you can save valuable time and focus your computing resources on tasks requiring more CPU .

Moreover, if your workload depends not only on sampling from these probability distributions but on further working with the sampled data, do not worry! our device can still be handy by offloading custom workloads to the RPU. Thanks to this helpful feature, you can easily use Quside’s RPUs to perform many different tasks. From data analysis, simulation, and modeling, RPUs are an ideal tool for professionals in various fields, from finance to scientific research, accelerating your work and achieving your goals more efficiently than ever before.

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Nevertheless, even if your workloads don’t rely on stochastic methods, just feel free to contact us! Some of our customers found that switching their deterministic codes to stochastic ones led them to faster simulations without sacrificing accuracy (or even improving it). We’ll be happy to help you determine if Quside’s RPUs fit your needs. We have a team of specialists who will guide you through the sampling and data analysis processes, helping you make the most of our device’s features and functions.

Besides, we’re excited to announce that we are publishing a series of posts exploring a range of use cases for our technology. These posts will cover a variety of scenarios, from financial modeling to scientific research, demonstrating how Quside’s RPU can improve all kinds of workflows and enhance your productivity. We will show you how to leverage its capabilities to the fullest potential by providing real-world examples of how you can use our technology. Stay tuned for our upcoming posts and discover how our device can help you achieve your goals more quickly and efficiently.

Whether you’re a busy professional, a student, or simply looking for a better way to stay connected, Quside’s RPU may be the perfect solution. It offers many benefits, including increased efficiency, improved communication, and enhanced entertainment options.

So why wait? Try our device today and discover the difference Quside RPUs can make!

José Ramon Martínez

José Ramon Martínez

Leader of the computing activities

He got his BSc in Physics from the UCM (Madrid); his MSc in Photonics from the UPC-UB-UAB (Barcelona); and his Ph.D. in Photonics from ICFO, where he worked at the Nanophotonics Theory Group. His research focused on Computational Physics in Nanophotonic systems, publishing 10+ articles in high-profile journals and developing various advanced high-performance computing systems.

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