Phonebit
WebMay 14, 2024 · PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones Conference Paper Mar 2024 Gang Chen Shengyu He Haitao Meng Kai Huang View Demo: Accelerating Depth-Map... WebMay 15, 2024 · Recent technological advances have proliferated the available computing power, memory, and speed of modern Central Processing Units (CPUs), Graphics Processing Units (GPUs), and Field Programmable Gate Arrays (FPGAs). Consequently, the performance and complexity of Artificial Neural Networks (ANNs) is burgeoning.
Phonebit
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WebDec 5, 2024 · PhoneBit provides a set of operator-level optimizations including locality-friendly data layout, bit packing with vectorization and layers integration for efficient binary convolution. We also provide a detailed implementation and parallelization optimization for PhoneBit to optimally utilize the memory bandwidth and computing power of mobile GPUs. WebPhoneBit provides a set of operator-level optimizations including locality-friendly data layout, bit packing with vectorization and layers integration for efficient binary convolution. We also provide a detailed implementation and parallelization optimization for PhoneBit to optimally utilize the memory bandwidth and computing power of mobile GPUs.
WebAug 1, 2024 · PhoneBit provides a highly optimized framework for execution of BNNs that explores efficient BNN operators to apply high-level optimizations on mobile devices. … WebPhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones Over the last years, a great success of deep neural networks (DNNs) has ... 0 Gang Chen, et al. ∙ share
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WebPhoneBit: efficient gpu-accelerated binary neural network inference engine for mobile phones
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