Flow’s proprietary PPU (Parallel Processing Unit) architecture will unlocks unprecedented performance for even the most demanding applications, spanning from localized AI to versatile parallel computing tasks thanks to Parallel Processing Unit.
It seamlessly integrates into existing and upcoming design architectures and process geometries, delivering a groundbreaking 100-fold speed boost that can be immediately harnessed across future CPU generations. By eliminating the necessity for costly GPU support of CPU instructions, Flow propels CPU throughput into a new era.
Flow’s proprietary Parallel Processing Unit architecture and adaptable compiler ecosystem. These innovations empower developers to achieve the optimal balance between raw performance required by new applications and compatibility with legacy code.
Flow’s pioneering architecture significantly enhances embedded systems and data centers alike. Its versatility extends to diverse environments such as edge and cloud computing, AI clouds, multimedia processing across 5G/6G networks, autonomous vehicle systems, and military-grade computing, setting a new standard for CPU capabilities.
What is Parallel Processing Unit?
The Parallel Processing Unit (PPU) is an IP block that integrates tightly with the CPU on the same silicon. It is designed to be highly configurable to specific requirements of numerous use cases.
The modifications to the CPU are minimal, primarily involving the integration of the PPU interface into the instruction set and an increase in the number of CPU cores to harness enhanced performance levels.
How is the 100 X Boost possible?
Flow’s parametric design offers extensive customization options, enabling adjustment of PPU core count, functional unit variety and quantity, and on-chip memory resources. Performance improvements scale directly with the number of PPU cores deployed. For instance, a 16-core PPU is optimal for compact devices such as smartwatches, while a 64-core PPU is well-suited for smartphones and PCs. In environments demanding high computational power like AI, cloud, and edge computing servers, a 256-core PPU configuration delivers superior performance.
Flow Computing is actively seeking partnerships with global semiconductor firms, aiming to deepen collaborative efforts. The company intends to provide a comprehensive overview of its innovative concept in the latter half of 2024. While the performance claims are certainly promising, it’s prudent not to rush to conclusions before more detailed information becomes available.
