Heterogeneous many-cores are now an integral part of modern computing systems ranging
from embedding systems to supercomputers. While heterogeneous many-core design offers …

This paper advocates programming high-performance code using partial evaluation. We
present a clean-slate programming system with a simple, annotation-based, online partial …

If-conversion is a fundamental technique for vectorization. It accounts for the fact that in a
SIMD program, several targets of a branch might be executed because of divergence …

Achieving peak throughput on modern CPUs requires maximizing the use of single-
instruction, multiple-data (SIMD) or vector compute units. Single-program, multiple-data …

Multi-core computing systems are becoming increasingly parallel and heterogeneous.
Parallelism exploitation is today the primary instrument for improving application …

When vectorizing programs for modern processors with SIMD extensions, IF-statements
pose a challenge: existing vectorization approaches often introduce redundant …

We propose a novel high-level approach for software development on GPU using Vulkan
API. Our goal is to speed-up development and performance studies for complex algorithms …

Loop vectorization is a classic technique to exploit SIMD instructions in a productive way. In
multi-dimensional vectorization, multiple loops of a loop nest are vectorized at once. This …

Modern processors are often equipped with vector instruction sets. Such instructions operate
on multiple elements of data at once, and greatly improve performance for specific …

Most CPUs in heterogeneous systems are now equipped with SIMD (Single Instruction
Multiple Data) extensions that operate on short vectors in parallel to enable high …