We examine the performance profile of Convolutional Neural Network training on the current
generation of NVIDIA Graphics Processing Units. We introduce two new Fast Fourier …

The BLAS-like Library Instantiation Software (BLIS) framework is a new infrastructure for
rapidly instantiating Basic Linear Algebra Subprograms (BLAS) functionality. Its fundamental …

We present the basic principles that underlie the high-performance implementation of the
matrix-matrix multiplication that is part of the widely used GotoBLAS library. Design …

This dissertation presents an automated system to generate highly efficient, platform-
adapted implementations of sparse matrix kernels. We show that conventional …

Since the advent of high-performance distributed-memory parallel computing, the need for
intelligible code has become ever greater. The development and maintenance of libraries …

We show how the BLAS-like Library Instantiation Software (BLIS) framework, which provides
a more detailed layering of the GotoBLAS (now maintained as OpenBLAS) implementation …

Due to the availability of several social media platforms and their use in sending text
messages, it is necessary to provide an easy and safe way to protect messages from being …

The computation of convolution layers in deep neural networks typically rely on high
performance routines that trade space for time by using additional memory (either for …

We present “GEMM-like Tensor–Tensor multiplication”(GETT), a novel approach for dense
tensor contractions that mirrors the design of a high-performance general matrix–matrix …

Tensor computations---in particular tensor contraction (TC)---are important kernels in many
scientific computing applications. Due to the fundamental similarity of TC to matrix …