Abstract: The inference latency of large language models (LLMs) on edge systems is often bottlenecked by the limited memory bandwidth between host and accelerator, primarily due to repeated parameter ...

File Compressor v2 is an advanced, user-friendly web application for compressing and decompressing files using both Huffman Coding and Lempel–Ziv (LZ77/LZW) algorithms. Designed with efficiency in ...

Abstract: The rapid generation and utilization of text data, driven by the proliferation of the Internet of Things (IoT) and large language models, has intensified the need for efficient lossless text ...

Researchers from Rice University and startup xMAD.ai have detailed Dynamic-Length Float (DFloat11), a technique achieving approximately 30% lossless compression for Large Language Model weights stored ...

High-speed lossless data compression of 16 to 512 bytes--get better average compression than QuickLZ for 512-byte blocks. td512 maintains good compression down to 16-byte blocks. This repository ...

In an era of big data, high-speed, reliable, cheap and scalable databases are no luxury. Our friends over at SQream Technologies invest a lot of time and effort into providing their customers with the ...

Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In cloud service code, ...