switch to thread safe LRU cache for temporaries use fixed size default for maximal memory of cache refactor part of the index notation processing to make it easier to inspect and more robust and efficient for complicated tensor objects introduce an overloadable memsize function to measure the size of the temporaries in the cach
Tensors are higher-dimensional analogs of matrices, and represent a key data abstraction for many ap...
TensorOperations v4.0.0 Diff since v3.2.5 Closed issues: Consider splitting out CuArrays? (#105) Cr...
Efficient computations with symmetric and non-symmetric tensors with support for automatic different...
TensorOperations v4.0.1 Diff since v4.0.0 Closed issues: Why drop caching Tensors? (#140) Is Tensor...
Tensoropt support for large number of tensors, thanks @GiggleLiu Switched to new registration syste
Memristor-based, non-von-Neumann architectures performing tensor operations directly in memory are a...
The majority of physical phenomena and their computational simulations are described mathematically ...
This dissertation is concerned with the development of novel high-performance algorithms for tensor ...
In this paper, after explaining the need to use tensors in computing, we analyze the question of how...
TensorOperations v2.2.0 Diff since v2.1.4 Closed issues: weird UndefRefError when trying to transpo...
TensorOperations v3.0.0 Diff since v2.2.0 Closed issues: Support for CuArrays 2.x.x (#87
TensorOperations v3.2.0 Diff since v3.1.0 Closed issues: tag new realese (#97) How to perform batch...
This thesis studies data-parallelism in tensor assignments. Building on an existent domain specific ...
Automatic optimization for tensor programs becomes increasingly important as we deploy deep learning...
TensorOperations v3.1.0 Diff since v3.0.1 Merged pull requests: update CUDA version to 2.x (#94) (@...
Tensors are higher-dimensional analogs of matrices, and represent a key data abstraction for many ap...
TensorOperations v4.0.0 Diff since v3.2.5 Closed issues: Consider splitting out CuArrays? (#105) Cr...
Efficient computations with symmetric and non-symmetric tensors with support for automatic different...
TensorOperations v4.0.1 Diff since v4.0.0 Closed issues: Why drop caching Tensors? (#140) Is Tensor...
Tensoropt support for large number of tensors, thanks @GiggleLiu Switched to new registration syste
Memristor-based, non-von-Neumann architectures performing tensor operations directly in memory are a...
The majority of physical phenomena and their computational simulations are described mathematically ...
This dissertation is concerned with the development of novel high-performance algorithms for tensor ...
In this paper, after explaining the need to use tensors in computing, we analyze the question of how...
TensorOperations v2.2.0 Diff since v2.1.4 Closed issues: weird UndefRefError when trying to transpo...
TensorOperations v3.0.0 Diff since v2.2.0 Closed issues: Support for CuArrays 2.x.x (#87
TensorOperations v3.2.0 Diff since v3.1.0 Closed issues: tag new realese (#97) How to perform batch...
This thesis studies data-parallelism in tensor assignments. Building on an existent domain specific ...
Automatic optimization for tensor programs becomes increasingly important as we deploy deep learning...
TensorOperations v3.1.0 Diff since v3.0.1 Merged pull requests: update CUDA version to 2.x (#94) (@...
Tensors are higher-dimensional analogs of matrices, and represent a key data abstraction for many ap...
TensorOperations v4.0.0 Diff since v3.2.5 Closed issues: Consider splitting out CuArrays? (#105) Cr...
Efficient computations with symmetric and non-symmetric tensors with support for automatic different...