The SYCL standard promises to enable high productivity in heterogeneous programming of a broad range of parallel devices, including multicore CPUs, GPUs, and FPGAs. Its modern and expressive C++ API design, as well as flexible task graph execution model give rise to ample optimization opportunities at run-time, such as the overlapping of data transfers and kernel execution. However, it is not clear which of the existing SYCL implementations perform such scheduling optimizations, and to what extent. Furthermore, SYCL’s high level of abstraction may raise concerns about sacrificing performance for ease of use. Benchmarks are required to accurately assess the performance behavior of high-level programming models such as SYCL. To this end, we p...
GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to deskt...
The CMS software framework (CMSSW) has been recently extended to perform part of the physics reconst...
The Black-Scholes option pricing problem is one of the widely used financial benchmarks. We explore ...
The SYCL standard promises to enable high productivity in heterogeneous programming of a broad range...
The proliferation of accelerators, in particular GPUs, over the past decade is im- pacting the way s...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
The next-generation of supercomputers will feature a diverse mix of accelerator devices. The increas...
High-performance computing (HPC) is a major driver accelerating scientific research and discovery, f...
The Khronos SYCL abstraction layer is designed to enable programming heterogeneous platforms, consis...
Heterogeneous systems consisting of multiple CPUs and GPUs are increasingly attractive as platforms ...
The OpenCL standard allows targeting a large variety of CPU, GPU and accelerator architectures using...
On the way to Exascale, programmers face the increasing challenge of having to support multiple hard...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
Benchmarking is the de facto standard for evaluating hardware architectures in academia and industry...
GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to deskt...
GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to deskt...
The CMS software framework (CMSSW) has been recently extended to perform part of the physics reconst...
The Black-Scholes option pricing problem is one of the widely used financial benchmarks. We explore ...
The SYCL standard promises to enable high productivity in heterogeneous programming of a broad range...
The proliferation of accelerators, in particular GPUs, over the past decade is im- pacting the way s...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
The next-generation of supercomputers will feature a diverse mix of accelerator devices. The increas...
High-performance computing (HPC) is a major driver accelerating scientific research and discovery, f...
The Khronos SYCL abstraction layer is designed to enable programming heterogeneous platforms, consis...
Heterogeneous systems consisting of multiple CPUs and GPUs are increasingly attractive as platforms ...
The OpenCL standard allows targeting a large variety of CPU, GPU and accelerator architectures using...
On the way to Exascale, programmers face the increasing challenge of having to support multiple hard...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
Benchmarking is the de facto standard for evaluating hardware architectures in academia and industry...
GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to deskt...
GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to deskt...
The CMS software framework (CMSSW) has been recently extended to perform part of the physics reconst...
The Black-Scholes option pricing problem is one of the widely used financial benchmarks. We explore ...