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Supercomputing and stellar dynamics

R. Capuzzo-Dolcetta

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Tags: Astrophysics, Celestial mechanics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenMP, Stellar dynamics, Tesla C1060

November 13, 2010 by hgpu

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Alexander Moore, Alice C. Quillen

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Tags: Astrophysics, Celestial mechanics, CUDA, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package

November 10, 2010 by hgpu

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

INT v.s. FP: A framework to compare low-bit integer and float-point formats

INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Tutoring LLM into a Better CUDA Optimizer

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