PerfXLab is an optimization solution company. We provide performance products and services for embedded systems, cloud computing, as well as for artificial intelligence application needs.
Our team members come from MIT, Chinese Academy of Sciences, Intel, and NVIDIA, all of them being seasoned developers and researchers in performance optimization. We have led the development of OpenBLAS, as well as the OpenCL module in OpenCV.
PerfBLAS is an optimized BLAS library for deep learning on ARM embedded system.
PerfBLAS can improve AlexNet model about 100% on ARMv7 and ARMv8 CPU cores.
PerfBLAS supports Linux and Android OS.
InferXLite is a lightweight deep learning inference framework for embedded systems. It supports ARM CPUs, ARM Mali GPUs, AMD APU SoCs, and NVIDIA GPU.
We provide the tool to covert DNN models (including Caffe model format and Darknet model format). In future, we will support other model formats.
InferXLite will be open source on github soon.
PerfXLab provides custom comsulting services and training for OpenBLAS. Our services include: