gpu-acceleration

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#gpu-acceleration

SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing

Hugging Face Daily Papers · 2026-07-28 Cached

SGTP is a real-time sampling-based game-theoretic planning framework for multi-vehicle autonomous racing, achieving 95.24% win rate and 99.35% task completion with low computational time. The authors release code and an open-source benchmark.

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#gpu-acceleration

CayleyR: Solving the TopSpin puzzle via cycle intersection

arXiv cs.AI · 2026-07-16 Cached

This paper presents cayleyR, an R package that solves the TopSpin permutation puzzle using an iterative cycle intersection algorithm on Cayley graphs, implemented with a C++ backend and optional Vulkan GPU acceleration.

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#gpu-acceleration

Show HN: Firefox in WebAssembly

Hacker News Top · 2026-07-15 Cached

Firefox is compiled to run in WebAssembly, using WebGL-based rendering and an experimental JS-to-WASM JIT, with web content proxied through a Puter-hosted Wisp server.

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#gpu-acceleration

FlashTrie: A GPU-Accelerated Constrained Beam Search for Generative Retrieval

arXiv cs.LG · 2026-07-14 Cached

FlashTrie presents a GPU-accelerated constrained beam search for generative retrieval, using a succinct trie layout and cooperative CUDA kernels to reduce decoding latency and enable real-time serving at scale, achieving up to 24× speedup and a 0.71% revenue lift in a commercial search engine.

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#gpu-acceleration

TDGT: A Tabular Data Generation Toolkit supporting adaptive GPU-accelerated Bayesian mixture models, diffusion-based models, and latent-space generative modeling

arXiv cs.LG · 2026-07-01 Cached

TDGT is a web-based toolkit for synthetic tabular data generation that introduces the Adaptive Bayesian Mixture Synthesizer (ABMS) algorithm and a hybrid VAE-ABMS model, with GPU acceleration and comprehensive fidelity assessment.

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#gpu-acceleration

Made a Rust DB run spatial queries on gaming GPU RT cores, beating an H100

Hacker News Top · 2026-06-26 Cached

SedonaDB 0.4 introduces RayBooster, which uses GPU ray tracing cores to accelerate spatial joins, outperforming an H100; the research was accepted to VLDB 2026.

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#gpu-acceleration

@NFTCPS: App Sandbox is quite something — free and open-source, runs Win11, Ubuntu, macOS VMs on Windows 11 Home without needing Hyper-V, with GPU acceleration. The coolest part is it has a headless API plus Python S…

X AI KOLs Timeline · 2026-06-26 Cached

App Sandbox is a free and open-source virtual machine management tool that supports running Windows, Ubuntu, and macOS virtual machines on Windows 11 Home without Hyper-V. It features GPU acceleration and a headless API/Python SDK for programmable batch VM management, making it suitable for automation scenarios like AI agents.

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#gpu-acceleration

From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries

NVIDIA Blog · 2026-06-22 Cached

NVIDIA announces new AI software libraries and microservices—DAQIRI, ALCHEMI, and cuPhoton—that dramatically accelerate scientific workloads in fields like astronomy, materials science, and particle physics, achieving up to 14,900x speedups over CPU-based pipelines.

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#gpu-acceleration

Veriphi: Attack-Guided Neural Network Verification with Dataset-Dependent Training Methods

arXiv cs.LG · 2026-06-18 Cached

Veriphi is a GPU-accelerated neural network verification system that combines adversarial attacks with formal certification. It demonstrates that the effectiveness of training methods (standard, adversarial, certified) depends heavily on dataset complexity, with IBP dominating on simple MNIST and PGD on complex CIFAR-10, and achieves 5x verification speedup.

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#gpu-acceleration

React Native ExecuTorch now runs Gemma 4 (Vulkan and MLX accelerated)

Reddit r/LocalLLaMA · 2026-06-15

The react-native-executorch library now integrates Google's Gemma 4 model, enabling fully offline, GPU-accelerated inference in React Native apps using Vulkan on Android and MLX on Apple Silicon.

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#gpu-acceleration

@gaoren7716: A friend runs a Douyin matrix. CapCut membership costs 30 yuan a month, 4 accounts would be 120 yuan. I wonder: Do you have to pay for video editing software? Can a video editor be open source? It's 2026 now. A video editor is open source, and can also run across Web/Desktop/Mobile with one codebase. OpenCut, being rewritten from scratch, Rust core…

X AI KOLs Following · 2026-06-12 Cached

OpenCut is an open-source video editor based on a Rust core, supporting cross-platform across Web/Desktop/Mobile. It provides innovative features such as plugin architecture, MCP server supporting AI agent calls, Headless mode, etc., aiming to replace paid video editing software.

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#gpu-acceleration

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

Hugging Face Daily Papers · 2026-06-09 Cached

Flash-GMM introduces a fused Triton kernel for Gaussian Mixture Models that achieves 20x speedup and enables training on datasets 100x larger on a single GPU, making soft clustering a viable drop-in replacement for k-means in approximate nearest neighbor search.

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#gpu-acceleration

@QingQ77: Decouple Alibaba DAMO Academy's ZipEnhancer noise reduction model from the ModelScope pipeline and package it as a high-performance FastAPI denoising service. https://github.com/gyj1201/zipEnhancer… Alibaba DAMO Academy's Z…

X AI KOLs Timeline · 2026-06-08 Cached

This project decouples Alibaba DAMO Academy's ZipEnhancer noise reduction model from the ModelScope pipeline, rewrites the inference logic in pure PyTorch, and packages it as a FastAPI service. It supports FP16 half-precision and long audio segmentation, providing multiple noise reduction model switching and API interfaces.

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#gpu-acceleration

TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

arXiv cs.LG · 2026-06-08 Cached

TorchKM is an open-source GPU-accelerated library for kernel machines (SVMs, kernel logistic regression, etc.) with a scikit-learn-style API. It accelerates training and model selection by reusing matrix operations, offering substantial speedups over standard baselines.

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#gpu-acceleration

A Study of Parallel Continuous Local Search

arXiv cs.AI · 2026-06-08 Cached

This paper studies parallel Continuous Local Search (CLS) for Boolean satisfiability with pseudo-Boolean constraints, revealing that redundant constraints can inhibit convergence and that CLS shows promise as a sub-solver in hybrid settings.

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#gpu-acceleration

Accelerated Fourier SAT (AFSAT): Fully Realising a GPU-based Symmetric Pseudo-Boolean SAT Solver

arXiv cs.AI · 2026-06-08 Cached

This paper presents Accelerated Fourier SAT (AFSAT), a GPU-accelerated solver for pseudo-Boolean satisfiability based on continuous local search. It improves upon prior proof-of-concept implementations by supporting heterogeneous constraints and leveraging JAX for parallel computation.

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#gpu-acceleration

Firefox Merges Support for Vulkan Video Decoding

Hacker News Top · 2026-06-07 Cached

Mozilla Firefox has merged initial support for Vulkan Video decoding, enabling GPU-accelerated video playback across platforms, expected in Firefox 153 in July.

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#gpu-acceleration

sycl : port multi-column MMVQ from CUDA backend (~45% speculative decoding speedup on Intel Arc) by masonmilby · Pull Request #21845 · ggml-org/llama.cpp

Reddit r/LocalLLaMA · 2026-06-05 Cached

A pull request for llama.cpp ports multi-column MMVQ from CUDA to SYCL, achieving approximately 45% speculative decoding speedup on Intel Arc GPUs.

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#gpu-acceleration

DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning

arXiv cs.AI · 2026-06-04 Cached

DiffAero is a GPU-accelerated, fully differentiable simulation framework for quadrotor control policy learning that supports environment- and agent-level parallelism, multiple dynamics models, and customizable sensors. It enables robust flight policy learning in hours on consumer-grade hardware and is released as open-source.

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#gpu-acceleration

@yhslgg: Bro, sharing another open-source video translation tool—pyVideoTrans, with 17,700 stars on GitHub, a must-have for video repurposing and localization! In a nutshell: drop a video in, and it automatically runs through the entire pipeline of speech recognition → subtitle translation → AI dubbing → video synthesis, outputting a complete video in another language. Core...

X AI KOLs Timeline · 2026-06-03 Cached

pyVideoTrans is an open-source video translation tool that supports automatic speech recognition, subtitle translation, AI dubbing, and video synthesis. It integrates multiple ASR, translation, and TTS engines, making it suitable for cross-language video production and localization.

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