Abstract: We consider the distributed memory parallel multiplication of a sparse matrix by a dense matrix (SpMM). The dense matrix is often a collection of dense vectors. Standard implementations will ...
Abstract: Homomorphic encryption (HE) is a promising technique for privacy-preserving computing because it allows computation on encrypted data without decryption. HE, however, suffers from poor ...
Low rank adapation (LoRA) is a parameter efficient way to add new knowledge to a pretrained LLM. Although the pretrained LLM takes 100s of GB storage, a LoRA finetuned model only adds 1% storage and ...
* Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the ...
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