The latest news, articles, thoughts and podcasts from Flow Computing.
News & articles
18/12/24
2024 Wrapped – Redefining CPU Performance
2024 has been a transformative year for Flow Computing. From our inception to establishing partnerships, unveiling groundbreaking technology, and engaging with the industry, we’ve made significant strides in redefining CPU performance.
Read more10/12/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on the PPU (Episodes 1-6)
Discover how the PPU is revolutionizing computing! In this special series, Dr. Jörg Keller dives into the transformative impact of the PPU, from enhanced performance to tackling hardware diversification. Watch the full episodes now!
Read more06/11/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on the PPU's Future Role in the Industry (Episode 6)
In Episode 6 of the Flow Computing Podcast, Professor Jörg Keller discusses the PPU's role in the evolving landscape of hardware diversification and its potential to shape the future of computing.
Read more23/10/24
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 the 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 Parallel Processing Unit (PPU) to RISC-V. Flow also joins RISC-V International as a Strategic Member
Flow announces its developing first Parallel Processing Unit (PPU) based on RISC-V to achieve parallel processing boost of up to 100X improved performance. Flow also joins RISC-V International as a Strategic Member.
Read more07/10/24
Flow Computing Podcast Series: Prof. Dr. Jörg Keller on PPU Adaptability and Integration (Episode 4)
In Episode 4 of the Flow Computing Podcast, Professor Jörg Keller explores how the 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 PPU)
In Episode 3 of the Flow Computing Podcast, Professor Jörg Keller examines real-world applications where the 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 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 legacy 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 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's 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. Flow's Parallel Processing Unit (PPU) is changing the game by enabling faster general purpose computing for CPUs so that AI workloads can be accelerated.
Read more