Recent years have witnessed phenomenal growth in the computational capabilities and
applications of GPUs. However, this trend has also led to a dramatic increase in their power …

Reconfigurable architectures have gained popularity in recent years as they allow the
design of energy-efficient accelerators. Fine-grain fabrics (eg FPGAs) have traditionally …

This paper describes a learning-based approach to the acceleration of approximate
programs. We describe the Parrot transformation, a program transformation that selects and …

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

We explore techniques to significantly improve the compute efficiency and performance of
Deep Convolution Networks without impacting their accuracy. To improve the compute …

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 …

Unlike traditional dark silicon works that attack the computing logic, this article puts a focus
on the memory part, which dissipates most of the energy for memory-bound CPU …

The current milieu, encourages rapid growth of wireless communication, multimedia
applications, robotics and graphics to have efficient utilization of resources with high …

This paper presents a sparse matrix partitioning strategy to improve the performance of
SpMV on GPUs and multicore CPUs. This method has wide adaptability for different types of …

BLIS is a new software framework for instantiating high-performance BLAS-like dense linear
algebra libraries. We demonstrate how BLIS acts as a productivity multiplier by using it to …