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Intel Working on New Data Parallel C++
Announced at its Software Technology Day in London, Intel new Data Parallel C++ aims to provide a unified, cross-industry, single-source language to program heterogeneous architectures.
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Sony Trains ResNet-50 on ImageNet in 224 Seconds
Researchers from Sony announced that they trained a ResNet 50 architecture on ImageNet in only 224 seconds. The resulting network has a top-1 accuracy of 75% on the validation set of ImageNet. They achieved this record by using 2.100 Tesla V100 Tensor Core GPUs from NVIDIA. Besides this record, they also got a 90% GPU scaling efficiency using 1.088 Tesla V100 Tensor Core GPUs.
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GPUs Found Vulnerable to Side-Channel Attacks
Since Spectre and Meltdown were demonstrated at the beginning of 2018, researchers have been discovering many variants of side-channel vulnerabilities affecting both Intel and AMD CPUs. GPUs seemed instead to be immune to such attacks. Until now, that is.
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Using C# to Target GPUs
The new Hybridizer technology provides C# developers with a way to target the CUDA platform and take advantage of GPUs for increased performance. Thanks to Hybridizer, developers are not forced to use C or C++ to write high-performance GPU code.