Floating-point computations dominate the landscape of all AI/ML compute but also in automotive, avionics and healthcare. While performance and compute errors dominated the landscape of floating-point ...

Abstract: The accuracy requirements in many scientific computing workloads result in the use of double-precision floating-point arithmetic in the execution kernels. Nevertheless, emerging real-number ...

Abstract: Chaotic systems are attractive for digital and embedded applications due to their inherent unpredictability and sensitivity to initial conditions, making them suitable for applications such ...

The TMS320F28P550SJ from Texas Instruments is the industry's first real-time MCU with an integrated neural processing unit (NPU). It's designed to run convolutional-neural-network (CNN) models to help ...

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lsp-dsp-lib - DSP library for digital signal processing provides set of functions that perform SIMD-optimized computing on several hardware architectures. All functions currently operate on IEEE-754 ...