The latest news, articles, thoughts and podcasts from Flow Computing®.
News & articles.
23/10/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on PPU Latency and real-world performance (Episode 5)
In Episode 5 of the Flow Computing Podcast, Professor Jörg Keller discusses how Flow PPU's unique approach to latency impacts performance, especially in real-world scenarios where low latency is crucial.
Read more17/10/24
Flow is developing Flow Parallel Processing Unit (PPU) to RISC-V. Flow also joins RISC-V International as a Strategic Member
Flow announces its developing first Flow Parallel Processing Unit (PPU) based on RISC-V to achieve significant parallel processing boosts. Flow also joins RISC-V International as a Strategic Member.
Read more07/10/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on Flow PPU Adaptability and Integration (Episode 4)
In Episode 4 of the Flow Computing Podcast, Professor Jörg Keller explores how Flow PPU seamlessly integrates with existing CPU architectures and tools, emphasizing its broad applicability and ease of adoption.
Read more07/10/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on Video processing & beyond (Episode 3: Use cases of Flow PPU)
In Episode 3 of the Flow Computing Podcast, Professor Jörg Keller examines real-world applications where Flow PPU's flexibility drives significant performance gains, extending its impact beyond AI.
Read more24/09/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on Flow PPU Technology (Episode 2: Performance Gains)
In this episode, Prof. Dr. Jörg Keller explores how Flow Computing's PPU achieves performance gains for both new and existing software, especially when the source code is available.
Read more23/09/24
Startup Says It Can Make a 100x Faster CPU Flow Computing aims to boost central processing units with their ‘parallel processing units’
In an era of fast-evolving AI accelerators, general purpose CPUs don’t get a lot of love. “If you look at the CPU generation by generation, you see incremental improvements,” says Finland-based Flow Computing.
Read more17/09/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on Flow PPU Technology (Episode 1: Introduction to PPU Technology)
In this episode, Professor Dr. Jörg Keller, from the Faculty of Mathematics and Computer Science at FernUniversität in Hagen, introduces Flow Computing's Parallel Processing Unit (PPU) and explains how it overcomes the limitations of traditional multi-core processors.
Read more13/08/24
CPU Performance Bottlenecks Limit Parallel Processing Speedups
Semiconductor Engineering's Bryon Moyer analyses how hardware optimizations and well-thought-out software architectures can help CPU performance bottlenecks that are currently limiting potential parallel processing speedups.
Read more30/07/24
Supercharging AI: Flow PPU breaks performance barriers
Artificial Intelligence (AI) is rapidly transforming the world, but its full potential is often held back by the limitations of general purpose computing. The Flow Parallel Processing Unit (PPU) is changing the game by enabling faster general purpose computing for CPUs so that AI workloads can be accelerated.
Read more22/07/24
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.
Read more19/07/24
Hot Chips 2024 - learn more about Flow Computing's Parallel Processing Unit (PPU)
Join us at Hot Chips 2024 (August 25-27) in Stanford University to learn more about how Flow Computing's groundbreaking Parallel Processing Unit (PPU) is transforming the general purpose computing landscape. Interested in learning more about Flow PPU and technology behind it? Schedule a meeting with us at Hot Chips 2024.
Read more02/07/24
Flow Computing Claims Flow PPU 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 this new startup believes it may have the solution in Flow Parallel Processing Unit (PPU).
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