#GPUacceleration
✨neodrag 2.2.0✨ out!

Switches legacyTranslate from `true` to `false`.
Deprecates `legacyTranslate` and `gpuAcceleration` options, to be removed in v3
December 6, 2024 at 7:28 PM
AIエージェントとNVIDIA Isaac ROSによるROS 2ノード加速:ゼロコピー転送と自動最適化

ROS 2ノードのGPU加速を、AIエージェントとNVIDIA Isaac ROSで実現する技術詳細レポート。

#Robotics #ROS2 #GPUAcceleration #AIAgent #IsaacROS
AIエージェントとNVIDIA Isaac ROSによるROS 2ノード加速:ゼロコピー転送と自動最適化
ROS 2ノードのGPU加速を、AIエージェントとNVIDIA Isaac ROSで実現する技術詳細レポート。
ai.warp-studio.com
September 22, 2026 at 1:52 PM
Science is moving faster than ever. Let your data analysis match the pace, with DataPrudence by your side.

#aiinscience #generativeai #llms #slms #ai #ml #dataanalysis #gpuacceleration
July 11, 2025 at 4:26 AM
Experimental visuals rendered through ACMX2. A high-octane blend of color-shifting feedback and liquid motion.

#AcidCam #ACMX2 #GenerativeArt #DigitalArt #GPUAcceleration #Visuals
Strobe Neural Radiance #videoart #coding #nvidiagpu #contemporaryart #programming #creativecoding
YouTube video by Jared Bruni
youtube.com
April 10, 2026 at 8:18 AM
This animation focuses on high-frequency color shifting and radial symmetry. By layering complex distortion filters over a central light source, we’ve created a "Neural Radiance" effect that mimics the intensity of a digital supernova.

#DigitalArt #GPUAcceleration #creativecoding
Beyond the Event Horizon: A Journey Through Digital Geometry
YouTube video by Jared Bruni
youtu.be
April 10, 2026 at 8:43 AM
CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture.

cupy.dev

#cuda #python #gpuAcceleration
#numericalAnalysis
CuPy
NumPy & SciPy for GPU
cupy.dev
November 23, 2024 at 10:18 PM
Developed a flat tensor formalism enabling 300× GPU speedups for fermionic tensor network VMC by vectorizing symmetric tensor operations, enabling efficient optimization of hybrid tensor-neural networks for strongly correlated quantum systems.

#QuantumComputing #TensorNetworks #GPUAcceleration
GPU-Accelerated Variational Monte Carlo with Vectorized Symmetric Tensor Networks
arxiv.org
August 31, 2026 at 3:46 AM
Qilimanjaro integrates NVIDIA CUDA-Q into QiliSDK, enabling GPU-accelerated quantum-classical emulation. The upgrade supports hybrid workflows across multimodal backends including CPUs, GPUs, and quantum processors.

#QuantumSoftware #GPUAcceleration #News
NVIDIA CUDA-Q Integration Brings GPU Acceleration to QiliSDK
qilimanjaro.tech
August 17, 2026 at 2:59 PM
🚀 Reddio Launches GPU-Powered RDO Token 🔗

Reddio debuts its RDO token via Binance's 20th TGE, offering a GPU-accelerated, cross-chain Layer 2 solution backed by paradigm.

#Reddio #RDO #BinanceTGE #Layer2 #GPUAcceleration
Reddio (RDO) Debuts with Cross-Chain and GPU Appeal, Backed by Paradigm and Binance TGE - Crypto Economy
Binance launched its twentieth TGE alongside Reddio, granting access to RDO for users with at least 193 accumulated Alpha Points.
crypto-economy.com
May 29, 2025 at 4:34 PM
gpuAccelerationか?
November 27, 2024 at 1:07 PM
nvmath-pythonにおけるUniversal Sparse Tensorが拓く疎な深層学習の未来

nvmath-python v0.9.0がUniversal Sparse Tensorを統合。疎な深層学習の柔軟性と性能を向上。

#SparseDeepLearning #nvmath-python #UniversalSparseTensor #GPUAcceleration #ScientificComputing
nvmath-pythonにおけるUniversal Sparse Tensorが拓く疎な深層学習の未来
nvmath-python v0.9.0がUniversal Sparse Tensorを統合。疎な深層学習の柔軟性と性能を向上。
ai.warp-studio.com
April 23, 2026 at 1:27 AM
GPUs become advantageous for larger datasets or when data is already on the GPU (e.g., 3D particle systems). This avoids costly host-device transfers, making GPU sort faster overall. #GPUAcceleration 7/7
May 7, 2025 at 10:33 AM
NVIDIA GQE: GPU-accelerated query engines with HBM and NVLink

#NvidiaBlackwell #GpuAcceleration #QueryEngines
June 30, 2026 at 6:34 PM
NVIDIA Powers 81% of World's Top 500 Fastest Supercomputers

#NVIDIA #Supercomputers #GpuAcceleration
June 23, 2026 at 10:09 AM
A new Exxact–VDURA partnership is raising the bar for AI and HPC infrastructure, delivering storage that finally keeps pace with modern GPU-accelerated workloads.
#datastorage #GPUacceleration
Exxact Partners with VDURA to Deliver Faster, More Scalable Storage
Exxact and VDURA’s new partnership addresses storage bottlenecks in GPU-accelerated environments, enabling faster AI training, robust HPC workloads, and seamless scalability.
www.exxactcorp.com
December 10, 2025 at 7:41 PM
Achieved 208× speedup for Learning With Errors-based cryptographic key exchange using GPU acceleration and OpenACC. Enables practical post-quantum cryptography with massive parallelism on NVIDIA architectures.

#PostQuantumCrypto #GPUAcceleration #Research
GPU-Accelerated Learning With Errors Key Encapsulation for Post-Quantum Cryptography
arxiv.org
June 2, 2026 at 6:08 AM
GPU-accelerated tensor-network simulation powers SQMG's quantum molecular generation, scaling beyond state-vector limits to N=40 atoms. Hybrid circuit architecture achieves linear qubit scaling for drug discovery and materials design applications.

#QuantumChemistry #GPUAcceleration #Research
Scalable Quantum Molecular Generation with GPU-Accelerated Tensor-Network Simulation
iq.fp2.dev
April 26, 2026 at 1:36 AM
GPU-accelerated simulator achieves 64–146× speedup over CPU on NVIDIA A100 (20–28 qubits) via empirical backend selection, DAG-based gate fusion (34–38% depth reduction), and memory-aware fallback. Validated on IBM Heron QPU; Bell state fidelity 0.939.

#QuantumSimulation #GPUAcceleration #NISQ
GPU-Accelerated Quantum Circuit Simulation: Runtime-Adaptive Backend Selection, Gate Fusion & Adaptive Precision
iq.fp2.dev
April 7, 2026 at 7:23 AM
GPU4PySCF delivers up to 25× speedup over 28-core CPU for Kohn-Sham DFT via custom CUDA kernels achieving ~80% peak FP64 throughput. A 256-water cluster energy+gradient completes in ~30s on a single NVIDIA H100 GPU.

#QuantumChemistry #GPUAcceleration #DFT
GPU-Accelerated Multigrid Gaussian-Plane-Wave DFT in PySCF
iq.fp2.dev
March 27, 2026 at 4:15 AM