Publications (8)
Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations
Greg Henry, Ping Tak Peter Tang, Alexander Heinecke
In recent years fused-multiply-add (FMA) units with lower-precision multiplications and higher-precision accumulation have proven useful in machine learning/artificial intelligence…
Proposed Consistent Exception Handling for the BLAS and LAPACK
James Demmel, Jack Dongarra, Mark Gates +7
Numerical exceptions, which may be caused by overflow, operations like division by 0 or sqrt(-1), or convergence failures, are unavoidable in many cases, in particular when softwar…
Improving Transit Predictions of Known Exoplanets with TERMS
Stephen R. Kane, David Ciardi, Debra Fischer +7
Transiting planet discoveries have largely been restricted to the short-period or low-periastron distance regimes due to the bias inherent in the geometric transit probability. Thr…
Rotation periods of exoplanet host stars
Elaine Simpson, Sallie Baliunas, Greg Henry +1
The stellar rotation periods of ten exoplanet host stars have been determined using newly analysed Ca II H & K flux records from Mount Wilson Observatory and Stromgren b, y photome…
Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures
Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee +4
Convolution layers are prevalent in many classes of deep neural networks, including Convolutional Neural Networks (CNNs) which provide state-of-the-art results for tasks like image…
MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning
Mathys Jam, Eric Petit, Pablo de Oliveira Castro +3
Many High-Performance Computing (HPC) libraries rely on decision trees to select the best kernel hyperparameters at runtime,depending on the input and environment. However, finding…