![]() Please cite GPGPU'19 or ISPASS'19 when you use the benchmark suite. But, the correctness of the already uploaded networks are verified so feel free to test them. My crazily smart students, Chethan Keshava and Aajna Karki wrote all CUDA code and Spoorthi Mysore Shivakumar and Goutam Madhukeshwar Hegde wrote OpenCL code. The weight files are included in the benchmark suite. ![]() Predictions were verified against model files for image recognition (CNNs) and stock trend prediction (RNNs) which were trained by Caffe and Keras. The most widely used five CNNs (AlexNet, CifarNet, ResNet, SqueezeNet, VGGNet (will be soon uploaded) ) and two RNNs (GRU, LSTM) are written in pure CUDA and OpenCL and tested on GPGPU-Sim, NVIDIA GPUs, and Xilinx FPGAs for computer architecture and NN algorithm research community. Tango: A Deep Neural Network Benchmark Suite for Various Accelerators
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