TileLang
PulseAugur coverage of TileLang — every cluster mentioning TileLang across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New tropical convolution methods boost CNN efficiency and accuracy
Researchers have introduced novel extensions to tropical convolutional neural networks (TCNNs) called compound tropical convolution (cTCNN) and parallel tropical convolution (pTCNN). These new operators aim to enhance t…
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InstantSfM offers GPU-native structure-from-motion for deep learning era
Researchers have developed InstantSfM, a novel GPU-native structure-from-motion system designed to integrate seamlessly with deep learning pipelines. This system addresses the limitations of traditional CPU-centric SfM …
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Muxi GPU embraces open-source to build AI ecosystem
Chinese GPU manufacturer Muxi has launched its new Xisi S600 super-node and Xisuo X300 scientific intelligence GPU. The company is emphasizing its MXMACA software stack, which aims to minimize migration costs for develo…
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TileLang simplifies GPU kernel writing with Python interface
A new programming language called TileLang aims to simplify GPU kernel development by offering a middle ground between high-level frameworks like Triton and low-level control like CUTLASS. TileLang allows developers to …
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Moore Threads rallies open-source AI dev community for MUSA GPU ecosystem
Chinese GPU maker Moore Threads has convened a meetup focused on integrating its MUSA architecture with key open-source large model inference frameworks like SGLang. The event brought together core developers from proje…
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DeepSeek V4 achieves faster performance with custom kernels, replacing cuBLAS
DeepSeek has developed a custom kernel stack, DeepGEMM and TileLang, which not only matches but surpasses the performance of NVIDIA's cuBLAS. This custom implementation achieves bitwise determinism and batch invariance,…
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Alibaba's Qwen unveils FlashQLA for high-performance linear attention kernels
Alibaba's Qwen team has released FlashQLA, a new set of high-performance linear attention kernels developed using TileLang. These kernels are designed to improve the efficiency of attention mechanisms in large language …