9898

nVidia GeForce GTX 780


Specifications

GPU
GK110
FLOPS
3977 GFLOPS
Stream Processing Units
2304
Core Clock
863 MHz
Memory Clock
1502 MHz

Effective Memory Clock
6008 MHz
Memory Type
GDDR5
Amount of memory
3072 MB
Memory Bandwidth
288 GB/sec
Buswidth
384 bit
Tech process
28 nm
Interface
PCIe 3.0 x16
PS/VS version
5.0/5.0
DirectX compliance
11

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July 14, 2013 by

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization
DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads
HPX: a C++ Standard Library for Concurrency and Parallelism

HPX: a C++ Standard Library for Concurrency and Parallelism

Asynchronous-Many-Task Systems: Challenges and Opportunities – Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX
TorchQC: Quantum Dynamics and Machine Learning

TorchQC: Quantum Dynamics and Machine Learning

TorchQC – A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control
Matrix multiplication using Tensor Cores in CUDA

Matrix multiplication using Tensor Cores in CUDA

Utilizing Tensor Cores in Futhark
CPP Joules: Energy Measurement tool for CPP/CUDA programs

CPP Joules: Energy Measurement tool for CPP/CUDA programs

CPPJoules: An Energy Measurement Tool for C++
HPC-Coder-v2

HPC-Coder-v2

HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages
Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations
SW#SYCL

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search
tdg-benchs: benchmarks used to test the performance of taskgraph

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs
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