19 citations · 21 across the 2 of their papers we have counts for
5 papers
Bridging HPC Communities through the Julia Programming Language
Valentin Churavy, William F Godoy, Carsten Bauer +9
The Julia programming language has evolved into a modern alternative to fill existing gaps in scientific computing and data science applications. Julia leverages a unified and coor…
Preparing for the Future -- Rethinking Proxy Apps
Satoshi Matsuoka, Jens Domke, Mohamed Wahib +5
A considerable amount of research and engineering went into designing proxy applications, which represent common high-performance computing workloads, to co-design and evaluate the…
TensorFlow Doing HPC
Steven W. D. Chien, Stefano Markidis, Vyacheslav Olshevsky +3
TensorFlow is a popular emerging open-source programming framework supporting the execution of distributed applications on heterogeneous hardware. While TensorFlow has been initial…
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training
Jiawen Liu, Dong Li, Gokcen Kestor +1
Training neural network often uses a machine learning framework such as TensorFlow and Caffe2. These frameworks employ a dataflow model where the NN training is modeled as a direct…
NVIDIA Tensor Core Programmability, Performance & Precision
Stefano Markidis, Steven Wei Der Chien, Erwin Laure +2
The NVIDIA Volta GPU microarchitecture introduces a specialized unit, called "Tensor Core" that performs one matrix-multiply-and-accumulate on 4x4 matrices per clock cycle. The NVI…