The latest news, articles, thoughts and podcasts from Flow Computing.
News & articles
11/06/24
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
Read more11/06/24
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.
Read more11/06/24
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.
Read more11/06/24
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.
Read more02/05/24
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.
Read more02/05/24
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.
Read more02/05/24
Preliminary Performance and Memory Access Scalability Study of Thick Control Flow Processors
The performance and memory access programmability comparison of Flow’s F4, F16, F64 and F256 vs. Intel Skylake Core i7 and Xeon W processors assuming the same clock rate.
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