An investigation of the performance portability of OpenCL

Improving Performance Portability in OpenCL Programs

We study the performance portability of OpenCL across diverse architectures including NVIDIA GPU, Intel Ivy Bridge CPU, and AMD Fusion APU. We present detailed performance analysis at assembly level on three exemplar OpenCL benchmarks: SGEMM, SpMV, and FFT. We also identify a number of tuning knobs that are critical to performance portability, including threads-data mapping, data layout, tiling...

Enhancing productivity and performance portability of OpenCL applications on heterogeneous systems using runtime optimizations

Cross-Platform OpenCL Code and Performance Portability for CPU and GPU Architectures Investigated with a Climate and Weather Physics Model

Current multiand many-core computing typically involves multi-core Central Processing Units (CPU) and many-core Graphical Processing Units (GPU) whose architectures are distinctly different. To keep longevity of application codes, it is highly desirable to have a programming paradigm to support these current and future architectures. Open Computing Language (OpenCL) is created to address this p...

Dealing with performance/portability and performance/accuracy trade-offs in heterogeneous computing systems: A case study with matrix multiplication modulo primes

We present the study of two important trade-offs in heterogeneous systems (i.e., between performance versus portability and between performance and accuracy) for a relevant linear algebra problem, matrix multiplication modulo primes. Integer matrix linear algebra methods rely heavily on matrix multiplication modulo primes. Double precision is necessary for exact representation of sufficiently m...

Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)

Computing systems have become increasingly complex with the emergence of heterogeneous hardware combining multicore CPUs and GPUs. These parallel systems exhibit tremendous computational power at the cost of increased programming effort. This results in a tension between achieving performance and code portability. Code is either tuned using device-specific optimizations to achieve maximum perfo...

Exploiting heterogeneous parallelism with the Heterogeneous Programming Library

While recognition of the advantages of heterogeneous computing is steadily growing, the issues of programmability and portability hinder its exploitation. The introduction of the OpenCL standard was a major step forward in that it provides code portability, but its interface is even more complex than that of other approaches. In this paper we present the Heterogeneous Programming Library (HPL),...