In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

Accurate automatic optimization heuristics are necessary for dealing with thecomplexity and
diversity of modern hardware and software. Machine learning is aproven technique for …

Tiling is a key technique for data locality optimization and is widely used in high-
performance implementations of dense matrix-matrix multiplication for multicore/manycore …

Real-time dense computer vision and SLAM offer great potential for a new level of scene
modelling, tracking and real environmental interaction for many types of robot, but their high …

We propose IR2Vec, a Concise and Scalable encoding infrastructure to represent programs
as a distributed embedding in continuous space. This distributed embedding is obtained by …

Transpilers refer to a special type of compilation that takes source code and translates it into
target source code. This type of technique has been used for different types of …

Performance modeling is an important and active area of research in high-performance
computing (HPC). It helps in better job scheduling and also improves overall performance of …

OpenCL has been designed to achieve functional portability across multi-core devices from
different vendors. However, the lack of a single cross-target optimizing compiler severely …

System designers typically use well-studied benchmarks to evaluate and improve new
architectures and compilers. We design tomorrow's systems based on yesterday's …

Graphics Processing Units (GPUs) employ large register files to accommodate all active
threads and accelerate context switching. Unfortunately, register files are a scalability …