What's new in this version: Major changes: - All connections to website engines (Ranker, Information, Price) are now secured by SSL through HTTP - Sandra client (management console) is now installed as native 64-bit (on x64 and arm64) and thus needs 64-bit Access components (2016, 2013, 2010, etc.) or SQL Server (2017, 2016, 2014, etc) for its database
Brand-new benchmarks (AI/ML), hardware support: - London, UK, July 18th, 2019 – We are pleased to announce the launch of SiSoftware Sandra 20/20 (2020), the latest version of our award-winning utility, which includes remote analysis, benchmarking and diagnostic features for PCs, servers, mobile devices and networks - It adds two Neural Networks AI/ML (Artificial Intelligence/Machine Learning) benchmarks for both CPU and GP (GPU) to measure both CNN (Convolution Neural Network) & RNN (Recurrent Neural Networks) performance on modern hardware - It also adds hardware support and optimisations for brand-new CPU architectures (AMD Ryzen 2 (3000 series); Intel IceLake, CometLake) not forgetting GPGPU architectures across the various interfaces (CUDA, OpenCL, DirectX ComputeShader, OpenGL Compute) - As SiSoftware operates a “just-in-time” release cycle, some features were introduced in Sandra 2017 service packs: in Sandra Titanium they have been updated and enhanced based on all the feedback received
Broad Operating System Support: - All current versions supported: Windows 10, 8.1, 8, 7; Server 2019, 2016, 2012/R2 and 2008/R2 - Brand new AI/ML benchmarks featuring both CNN & RNN networks testing both inference/forward and training/back-propagation performance
Processor Neural Networks (AI/ML): - A combined performance index of CNN (inference/forward & training) & RNN (inference/forward & training) for all precisions (single/FP32, double/FP64 floating-point) and instruction sets (AVX512, AVX2/FMA, AVX, SSE4, SSE2, RTM/HLE with NUMA and large-page support) - Ranker: Processor Neural Networks (Normal/Single Precision) - Ranker: Processor Neural Networks (High/Double Precision)
GP (GPU) Neural Networks (AI/ML): - A combined performance index of CNN (inference/forward & training) & RNN (inference/forward & training) for all precisions (half/FP16, single/FP32 floating-point) and platforms (CUDA, OpenCL, DirectX Compute) - GP (GPU) Neural Networks (Normal/Single Precision) - GP (GPU) Neural Networks (Low/Half Precision)
CNN (Convolution Neural Network) Architecture: - Detailed document on the CNN architecture, data-sets and results that underpin our choices for the new benchmarks - The new Neural Networks (AI/ML) Benchmarks: CNN Architecture
RNN (Recurrent Neural Network) Architecture: - Detailed document on the RNN architecture, data-sets and results that underpin our choices for the new benchmarks - The new Neural Networks (AI/ML) Benchmarks: RNN Architecture
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