Feb 8, 2021 · Quantization enables efficient acceleration of deep neural networks by reducing model memory footprint and exploiting low-cost integer math hardware units. Quantization …

Quantized inference accelerates compute-bound operations, conserve memory bandwidth for memory-bound operations, and reduce on-chip storage size. VS-Quant extensions highlighted …

We propose fine-grained per-vector scaled quantization (VS-Quant) to mitigate quantization-related accuracy loss. In contrast to coarse-grained per-layer/per-output-channel scal-ing, VS …

Quantization enables efficient acceleration of deep neural networks by reducing model memory footprint and exploiting low-cost integer math hardware units. Quantization maps floating-point …

Jan 28, 2022 · The signal-to-noise ratio (SNR) often drives the choice of distributed acoustic sensing (DAS) parameters in vertical seismic profiling (VSP). We compare this established …

LLMQuant是由一群来自世界顶尖高校和量化金融从业人员组成的前沿社区，致力于探索人工智能（AI）与量化（Quant）领域的无限可能。 我们的团队成员来自剑桥大学、牛津大学、哈佛大 …

Mar 31, 2023 · To associate your repository with the quantv-for-sp topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 150 …

准确提取Q值是研究地层吸收衰减特性的关键.对三种Q值反演方法（质心频率法、振幅衰减法、频谱比法）进行对比分析，旨在为衰减特性的求取提供参考.针对零偏VSP数据进行计算，对比 …

Nov 19, 2024 · We demonstrate that direct control over the VSP can significantly improve efficiency and present an unbiased volume rendering algorithm based on an existing …

Apr 5, 2021 · Quantization enables efficient acceleration of deep neural networks by reducing model memory footprint and exploiting low-cost integer math hardware units. Quantization …