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FlashAttention-T: Towards Fully Tensorized Attention by Exploiting Tensor-Vector Parallelism | Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
tensorizationparallel-programmingai-optimizationmachine-learning

FlashAttention-T: Towards Tensorized Attention

FlashAttention-T introduces a fully tensorized attention mechanism that leverages tensor-vector parallelism to enhance performance. This innovation aims to improve the efficiency of attention-based models in various applications.

dl.acm.org

🔥🔥🔥🔥🔥

6 min

2/3/2026

FlashAttention-T: Towards Fully Tensorized Attention by Exploiting Tensor-Vector Parallelism | Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
tensorizationparallel-programmingai-optimizationmachine-learning

FlashAttention-T: Towards Tensorized Attention

FlashAttention-T introduces a fully tensorized attention mechanism that leverages tensor-vector parallelism to enhance performance. This innovation aims to improve the efficiency of attention-based models in various applications.

dl.acm.org

🔥🔥🔥🔥🔥

6 min

2/3/2026

FlashAttention-T: Towards Fully Tensorized Attention by Exploiting Tensor-Vector Parallelism | Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
tensorizationparallel-programmingai-optimizationmachine-learning

FlashAttention-T: Towards Tensorized Attention

FlashAttention-T introduces a fully tensorized attention mechanism that leverages tensor-vector parallelism to enhance performance. This innovation aims to improve the efficiency of attention-based models in various applications.

dl.acm.org

🔥🔥🔥🔥🔥

6 min

2/3/2026

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