在标准的Transformer计算中,给定大小为(N,d)的三个矩阵 Q,K,V,标准的Self-Attentiont的计算如下(其中softmax前省略了Scale和Attention Mask处理): 其中Q/K/V 由原始输入x,经过Linear线性变换得到,S在一些论文中被称为注意力得分Attention Scores, P是对S进行逐行softmax得到的结果,可理解为归一化的注意力得分No...
FlashAttention-V4 Paper: 《FLASHDECODING++: FASTER LARGE LANGUAGE MODEL INFERENCE ON GPUS》 Flash Decoding++主要解决LLM推里中的以下3个问题 online softmax计算过程需要同步各个部分的softmax结果,这一同步过程在attention计算的耗时统计中占比较高 在decode阶段,GEMM通常是flat-shape(batch size较小),甚至退化...
了解FlashAttentionV3的优化需要先了解Hopper的主要技术(Hopper White Paper概述) - Hopper White Paper介绍了Hopper芯片的性能和特点 - A100芯片具有专门的Tensor Core,性能提升了6倍 - A100芯片支持SM汰莲状执和SM冠壤亩唱芒 - A100芯片具有高性能的MMA(郭嗜搜肆)潮粮享 - A100芯片支持反雅默亲疯悔歉咙荤耽部...
如下图所示,在FlashAttention v1中使用一个thread block来生成下图中的结果O;但是在FlashAttention v2中一个thread block仅负责生成图示中结果O的一个子集,也就是图下方中的每一行(O1, O2...)。在单个线程块中会迭代地对(Q1,K1,V1),(Q1,K2,V2),(Q1,K3,V3),(Q1, K4, V4)数据进行tiling化的attention...
Flash Attention 2 is oriented to GPU and use tensor cores. Right, so is flash attention 1 though... And Llama.cpp has GPU support via CUDA, does it not? Flash attention 1 paper: We propose FlashAttention, an IO-aware exact attention algorithm that uses tiling to reduce the number of ...
📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc. - lliai/Awesome-LLM-Inference
724Altmetric Metrics Abstract The emergence of flash drought has attracted widespread attention due to its rapid onset. However, little is known about the recent evolution of flash droughts in terms of the speed of onset and the causes of such a rapid onset phase of flash droughts. Here, we ...
The method of simulating neural networks using hardware circuits has received widespread attention. Traditional neuromorphic computation (NC) circuits are mostly designed based on the von Neumann architecture. This has problems with unstable computing performance and the high energy consump- tion of ...
It came to my attention last November that I had crossed the one year anniversary since my last post on flashdba.com. I was so surprised that I immediately decided to write a new post, which took another three months. There are reasons why I’m no longer posting technical blogs about da...
Meanwhile, someone as intelligent and insightful as a Talib Kweli has to grind, hard, just for airplay, gigs, and our Twitter attention spans. As long as that kind of awful imbalance exists, then you can bet your bottom buck that Kool Herc and every other hiphop pioneer are not a part...