GPGPU
Electronics | Free Full-Text | The Adaptive Streaming SAR Back-Projection Algorithm Based on Half-Precision in GPU
How Fast GPU Computation Can Be. A comparison of matrix arithmetic… | by Andrew Zhu | Towards Data Science
Optimize TensorFlow GPU performance with the TensorFlow Profiler | TensorFlow Core
tensorflow - Why can GPU do matrix multiplication faster than CPU? - Stack Overflow
Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures | DeepAI
Execution times of the PCA system simulated on an nVidia GPU, on an... | Download Scientific Diagram
![PDF] Arbitrary-Precision Arithmetics on the GPU | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/e16a5ab24f4c4102914a56ac51fe6940d3c4be86/5-Figure3-1.png "PDF] Arbitrary-Precision Arithmetics on the GPU | Semantic Scholar")
PDF] Arbitrary-Precision Arithmetics on the GPU | Semantic Scholar
Ratios of CPU-/GPU multiplication time over CPU addition time | Download Scientific Diagram
Matrix Multiplication Inches Closer to Mythic Goal | Quanta Magazine
Maximizing Unified Memory Performance in CUDA | NVIDIA Technical Blog
Discovering faster matrix multiplication algorithms with reinforcement learning | Nature
Are All FLOPs Created Equal? A Comparison of FLOPs vs Runtime - Deci
Tutorial 5 - Matrix Multiplication on multiple NVIDIA GPUs | Hedgehog Tutorials
How to design a high-performance neural network on a GPU | by Kiran Achyutuni | Deep Dives into Computer Science | Medium
CUDA C++ Best Practices Guide
Multiplication and addition performances on CPU/GPU | Download Scientific Diagram
tensorflow - Why can GPU do matrix multiplication faster than CPU? - Stack Overflow
Floating Point and IEEE 754 Compliance for NVIDIA GPUs
Optimize TensorFlow GPU performance with the TensorFlow Profiler | TensorFlow Core
Piranha: A GPU Platform for Secure Computation
Large-scale distributed linear algebra with tensor processing units | PNAS
Achieved FLOPs
Electronics | Free Full-Text | An Approach for Matrix Multiplication of 32-Bit Fixed Point Numbers by Means of 16-Bit SIMD Instructions on DSP
