Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …

While domain-specific HPC software packages continue to thrive and are vital to many
scientific communities, a general purpose high-productivity GPU cluster programming model …

Heterogeneous multi-core architectures consisting of CPUs and GPUs are commonplace in
today's embedded systems. These architectures offer potential for energy efficient computing …

Heterogeneous systems are the core architecture of most of the high-performance
computing nodes, due to their excellent performance and energy efficiency. However, a key …

Heterogeneous computing machines consisting of a CPU and one or more GPUs are
increasingly being used today because of their higher performance-cost ratio and lower …

Managing the thread-level parallelism (TLP) of GPGPU applications by limiting it to a certain
degree is known to be effective in improving the overall performance. However, we find that …

A challenge that heterogeneous system programmers face is leveraging the performance of
all the devices that integrate the system. This paper presents Sigmoid, a new load balancing …

Recently Processing-in-Memory (PIM) has become a promising solution to achieve energy-
efficient computation in data-intensive applications by placing computation near or inside …

The contemporary multicore era has adhered to the heterogeneous computing devices as
one of the proficient platforms to execute compute-intensive applications. These …

With the improvement of global infrastructure, Cyber-Physical Systems (CPS) have become
an important component of Industry 4.0. Both the application as well as the machine work …