Hewlett Packard Enterprise Development LP

Jitendra Onkar Kolhe

Soumitra Chatterjee

Shounak Bandopadhyay

Vaithyalingam Nagendran

Mohan Parthasarathy

Shyam Sankar Gopalakrishnan

Gustavo Knuppe

Example techniques for causing execution of neural networks are described. A neural network includes a first part and a second part. A determination is made that a first physical resource in a first computing device is to execute the first part and that a second physical resource in a second computing device is to execute the second part. The determination is based on a latency in communication between the first physical resource and the second physical resource. The first computing device and the second computing device are part of a cluster.

Distributed execution of neural networks

Examples of performing tensor operations by a neural network-based computing system, are described. In an example, a first output working set generated by a first operation, wherein the first output working set is a set of processed partitioned tensors, is obtained. The first output working set is then copied to the output working set, for retrieving by the second operation.

Neural network accelerators

Examples disclosed herein relate to using a compiler for implementing tensor operations in a neural network base computing system. A compiler defines the tensor operations to be implemented. The compiler identifies a binary tensor operation receiving input operands from a first output tensor of a first tensor operation and a second output tensor of a second tensor operation from two different paths of the convolution neural network. For the binary tensor operation, the compiler allocates a buffer space for a first input operand in the binary tensor operation based on a difference between a count of instances of the first output tensor and a count of instances of the second output tensor.

Compiler for implementing neural network accelerator

In some examples, a system generates a neural network comprising logical identifiers of compute resources. For executing the neural network, the system maps the logical identifiers to physical addresses of physical resources, and loads instructions of the neural network onto the physical resources, wherein the loading comprises converting the logical identifiers in the neural network to the physical addresses.

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Karnataka, India

Jitendra Onkar Kolhe