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Accelerator for sparse-dense matrix multiplication
Disclosed embodiments relate to an accelerator for sparse dense matrix instructions. In one
example, a processor to execute a sparse-dense matrix multiplication instruction, includes …
example, a processor to execute a sparse-dense matrix multiplication instruction, includes …
Systems and methods for exchange of data in distributed training of machine learning algorithms
Systems and methods may make exchanging data in a neural network (NN) during training
more eficient. Exchanging weights among a number of processors training a NN across …
more eficient. Exchanging weights among a number of processors training a NN across …
Systems and methods for improved neural network execution
A method and system for computing one or more outputs of a neural network having a
plurality of layers is provided. The method and system can include determining a plurality of …
plurality of layers is provided. The method and system can include determining a plurality of …
Methods and systems for improved transforms in convolutional neural networks
US10902318B2 - Methods and systems for improved transforms in convolutional neural networks
- Google Patents US10902318B2 - Methods and systems for improved transforms in convolutional …
- Google Patents US10902318B2 - Methods and systems for improved transforms in convolutional …
Sparse matrix multiplication using a single field programmable gate array module
According to some embodiments, a computer-implemented method for performing sparse
matrix dense matrix (SPMM) multiplication on a single field programmable gate array …
matrix dense matrix (SPMM) multiplication on a single field programmable gate array …
System and method for executing convolution in a neural network
(57) ABSTRACT A system and method of executing a convolution layer of a neural network
may include:(a) selecting an output spatial position (OSP) of an output matrix data element …
may include:(a) selecting an output spatial position (OSP) of an output matrix data element …
Dot product operations on sparse matrix elements
A Appu, S Maiyuran, M MacPherson, F Fu… - US Patent …, 2023 - Google Patents
2020-12-16 Assigned to INTEL CORPORATION reassignment INTEL CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
Hardware accelerator for compressed LSTM
Hardware accelerator for compressed Long Short Term Memory (LSTM) is disclosed. The
accelerator comprise a sparse matrix-vector multiplication module for performing …
accelerator comprise a sparse matrix-vector multiplication module for performing …
Graphics processor operation scheduling for deterministic latency
Embodiments described herein include software, firmware, and hardware that provides
techniques to enable deterministic scheduling across multiple general-purpose graphics …
techniques to enable deterministic scheduling across multiple general-purpose graphics …
Instruction based control of memory attributes
J Ray, A Koker, V George, M MacPherson… - US Patent …, 2024 - Google Patents
Embodiments described herein provide techniques to facilitate instruction-based control of
memory attributes. One embodiment provides a graphics processor comprising a processing …
memory attributes. One embodiment provides a graphics processor comprising a processing …