research
∙
09/04/2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning
Advanced compiler technology is crucial for enabling machine learning ap...
share
research
∙
05/02/2022
LoopStack: a Lightweight Tensor Algebra Compiler Stack
We present LoopStack, a domain specific compiler stack for tensor operat...
research
∙
06/21/2021
Large-scale image segmentation based on distributed clustering algorithms
Many approaches to 3D image segmentation are based on hierarchical clust...
research
∙
12/04/2019
L3 Fusion: Fast Transformed Convolutions on CPUs
Fast convolutions via transforms, either Winograd or FFT, had emerged as...
research
∙
03/18/2019
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
Convolutional nets have been shown to achieve state-of-the-art accuracy ...
research
∙
09/20/2018
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why
Winograd-based convolution has quickly gained traction as a preferred ap...
research
∙
10/22/2015
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines
Convolutional networks (ConvNets) have become a popular approach to comp...
research
∙
05/01/2015
