Overview
Floating Point (FP) arithmetic has become more widespread in wireless communications, military applications, aeronautical applications, 3D graphics simulations, aircraft design and signal processing. However, FP number system provide less accurate, less dynamic range and more exceptions resulting in complicated Floating Point Unit (FPU) and power greedy processors. On other hand, POSIT number system offers much better accuracy, better dynamic range and fewer exception at half data width with respect to FP number system.
The Posit Based-Processor designed has circuit that is much simpler, silicon efficient and high performance. Our PNU performs addition, subtraction, multiplication, division, square root and other operations about 4X faster with respect to state-of-the-art FPUs. These operations are quite frequent in FP applications.
Learn more about CPU IP core
Post Covid 19, the biggest bet for revival of the industry is on 5G proliferation across the world. It is widely expected that 5G’s Enhanced Mobile broadband (eMMB) with speeds as high as 20X of 4G speed, Ultra reliable and Low Latency Communication ( URLLC) and massive Machine type connectivity (mMTC) will transform the world.
This article shares our experience using Google’s FlatBuffers library as a memory subsystem stress test on the Andes AX46MPV RISC-V core.
For the first time in our more than 35-year history, Arm is delivering its own silicon products – extending the Arm Neoverse platform beyond IP and Arm Compute Subsystems (CSS) to give customers greater choice in how they deploy Arm compute – from building custom silicon to integrating platform-level solutions or deploying Arm-designed processors.
The ChiPy DSL is Quadric's Python framework for building complete on-chip pipelines. Using YOLOX-M as a case study, we show how backbone inference, box decoding, and NMS run entirely on the Chimera GPNPU — no host CPU intervention, no DDR round-trips, just Python compiled to silicon.
As part of the new Arm Lumex compute subsystem (CSS) platform, the Arm C1 CPU cluster – the first built on the Armv9.3 architecture – is the next evolution of our highest performing CPU cluster for consumer devices, designed to unleash the full potential of on-device AI and elevate the user experience.
Hardware fuzzing has recently gained momentum with many discovered bugs in open-source RISC-V CPU designs. Comparing the effectiveness of different hardware fuzzers, however, remains a challenge: each fuzzer optimizes for a different metric and is demonstrated on different CPU designs.
