high performance computing on graphics processing units: hgpu.org

Tsunami generated by a submarine earthquake sometimes causes serious damage in a coastal area. To reduce negative effects of tsunami, effective evacuation and disaster prevention are getting interested. We can contribute to that by forecasting arrival time and height of tsunami with computer simulations. However, tsunami simulations always require massive data processing. The shallow water […]

Smith-waterman algorithm (SW) is a popular dynamic programming algorithm widely used in Bioinformatics for local biological sequence alignment. Due to the O(n2) high time and space complexity of SW and growing size of biological data, it is crucial to accelerate SW for high performance. In view of the GPU high efficiency in science computation, many […]

schnaps is a finite element solver designed to simulate various physical phenomena. It is designed to run on hybrid computers made of several CPUs and GPUs. In order to address the hybrid architectures we rely on the StarPU runtime. StarPU allows to optimize in an incremental way a sequential algorithm in order to migrate to […]

Network compression reduces the computational complexity and memory consumption of deep neural networks by reducing the number of parameters. In SVD-based network compression, the right rank needs to be decided for every layer of the network. In this paper, we propose an efficient method for obtaining the rank configuration of the whole network. Unlike previous […]

Researchers, scientists, engineers and industry professionals will join together this year at ICFNN 2019, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of  Frontiers of Neural Networks is entering an era of unprecedented change and innovation. ICFNN 2019 presents one of 2019’s premiere opportunities to hear from and network with […]

Researchers, scientists, engineers and industry professionals will join together this year at FAIML 2019, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of Frontiers of Artificial Intelligence and Machine Learning is entering an era of unprecedented change and innovation. FAIML 2019 presents one of 2019’s premiere opportunities to hear from and […]

Theme: Ensure Quality Assurance and Inspection Readiness through Good Clinical Practice and Strategic Partnerships Date: 16-17, 2019 Venue: Miami, Florida, USA E-mail: biomarkersresearch@gmail.com Phone: 7799790002 In the determination of safety and effectiveness of medications, devices, diagnostic products and treatments Clinical Research plays a major role. From a naturally occurring molecule or gene, we can identify […]

ICVISP 2019 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Vision, Image and Signal Processing can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Publication and Indexing All accepted papers will be published […]

SIUSAI 2019 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Intelligent Unmanned Systems and Artificial Intelligence can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Publication and Indexing All accepted papers will be […]

Merging and sorting algorithms are the backbone of many modern computer applications. As such, efficient implementations are desired. Recent architectural advancements in CPUs (Central Processing Units), such as wider and more powerful vector instructions, allow for algorithmic improvements. This paper presents a new approach to merge sort using vector instructions. Traditional approaches to vectorized sorting […]

It is universally accepted that the performance of graph algorithms is heavily dependent on the algorithm, the execution platform, and the structure of the input graph. This variability remains difficult to predict and hinders the choice of the right algorithm for a given problem. In this work, we focus on a case study: breadth-first search […]

In recent years, the traditional approaches for improving performance, such as increasing the clock frequency, has come to a dead-end. To tackle this issue, parallel architectures, such as multi-/many-core processors, have been envisioned to increase the performance by providing greater processing capabilities. However, programming efficiently for this architectures demands big efforts in order to transform […]