Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Programming tools that harness the computing power of CPUs and graphics processors have been updated, bringing more parallel programming capabilities to the table. Standards-setting firm Khronos Group ...

The Central Processing Unit (CPU) has been at the heart of High Performance Computing (HPC) for decades. However, in recent years, advances in parallel processing technology mean the landscape has ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...