The latest news, articles, thoughts and podcasts from Flow Computing.

News & articles

The future of computing: unveiling the power of flow

The landscape of computing is undergoing a seismic shift. As the demands for processing power continue to grow exponentially, the current architectures are reaching their limits. Flow is at the forefront of this revolution, implementing a radical rethink in how we approach CPUs and general purpose computing performance.

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Hot Chips 2024 - learn more about Parallel Processing Unit (PPU)

Join us at Hot Chips 2024 (August 25-27) in Stanford University to learn more about how Flow's groundbreaking Parallel Processing Unit (PPU) is transforming the general purpose computing landscape. Interested in learning more about Flow's PPU and technology behind it? Schedule a meeting with us at Hot Chips 2024.

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Flow Computing's PPU Claims to Boost CPU Power by 100x

Considering that CPUs are now often the bottleneck in computational applications, researchers and engineers alike continue to look for new ways to improve their capabilities, and a new startup believes it may have the solution in what it calls a Parallel Processing Unit.

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'One of the wildest claims ever heard': Finnish startup says it can speed up any CPU by 100x using a tiny piece of hardware with no recoding — and it might just be true

Finnish startup Flow Computing says it has developed a chip that can potentially double CPU performance and increase it by up to 100x with further software optimization, something TechCrunch describes “as one of the wildest claims ever heard in silicon engineering.”

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Flow Computing Deep Dive: Dr. Martti Forsell's White Paper Explores the "Design Goals, Advantages, and Benefits" of Revolutionary PPU Technology

We're excited to share a deeper look into the technology behind our groundbreaking Parallel Processing Unit (PPU). Dr. Martti Forsell, our CTO and Chief Architect, together with our tech team has authored a comprehensive white paper titled "Design Goals, Advantages, and Benefits of Flow Computing".

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'The CPU is the weakest link in computing'—Flow says it can boost CPU performance up to 100x with its proprietary companion chip

CPU design is experiencing a shake-up with NPUs and new chip construction techniques. Flow Computing has an even more radical idea: a co-processor architecture that boosts regular CPUs. It claims up to a 100x performance increase with software optimizations, offering a helping hand to traditional CPUs.

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Flow Computing Emerges from Stealth with Licensable, On-Die Parallel Processing Enabling 100X Improved Performance For Any CPU Architecture

Capable of Full Backwards Compatibility with Existing Software Designed for Servers, Mobile Devices or PCs, The “SuperCPU” Era Dawns to Outperform State-of-the-Art CPUs such as Apple’s M-series and Others; €4M in Nordic Pre-Seed Funding Currently in Place from Oversubscribed Round

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Flow Computing raises $4.3M to enable parallel processing to improve CPU performance by 100X

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding round of $4.3 million from Nordic investors and businesses.

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Flow PPU Promises to Accelerate Threaded Code 100x

New startup Flow Computing is developing technology with a parallel-processing unit (PPU) and compiler to speed up CPU code 100-fold. Based on research from the University of Eastern Finland and continued at VTT Technical Research Center, it aims to counter slowing CPU improvements while maintaining compatibility.

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Flow claims it can 100x any CPU’s power with its companion chip and some elbow grease

A Finnish startup called Flow Computing is making one of the wildest claims ever heard in silicon engineering: by adding its proprietary companion chip, any CPU can instantly double its performance, increasing to as much as 100x with software tweaks.

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Performance and Programmability Comparison of the Thick Control Flow Architecture and Current Multicore Processors

The performance and programmability comparison of Flow’s F16 vs. Intel Skylake Core i7 and Xeon W processors assuming the same clock rate.

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Realizing multioperations and multiprefixes in Thick Control Flow processors

Implementation and performance evaluation of multioperations and multiprefixes in Flow’s processors. We showed that the multioperations can asymptotically speed up execution of certain N data element algorithms by a factor of log N.

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