CUDA and OpenCL Training Courses 2015

June 11th, 2015

“Acceleware offers industry leading training courses for software developers looking to increase their skills in writing or optimizing applications for highly parallel processing. The training focuses on using GPUs for computing and the associated popular programming languages.

The courses are all taught by experienced programmers who provide real world experience, derived from Acceleware’s 9 years of building commercial GPU applications.

Clients will access our top rated training techniques for parallel programming.

We offer public and private courses (private courses require a minimum of 6 students). The 2015 training schedule for public courses is posted on the Acceleware website.”
Acceleware’s Training Courses 2015

IWOCL 2015 OpenCL Developer Conference and Advanced OpenCL Tutorial

April 22nd, 2015

OpenCL LogoStanford, CA – 21 April 2015. The organisers of IWOCL (“eye-wok-ul”), the International Workshop on OpenCL, today announced that AMD and HP have sponsored the Advanced Hands-On OpenCL Tutorial that will kick-off IWOCL 2015. The tutorial, which will focus on advanced OpenCL concepts, is an extension of the highly successful ‘Hands on OpenCL’ course which has received over 3,000 downloads. Simon McIntosh-Smith, Senior Lecturer in High Performance Computing and Architectures at the University of Bristol and one of the authors of the original open-source course will lead the tutorial.

The full-day Advanced Hands-On OpenCL tutorial takes place on Monday 11th May at the Li Ka Shing Center, Stanford University. Registration is $145. For additional information visit: Read the rest of this entry »

CfP: Journal of Real-Time Image Processing (JRTIP), Special Issue on Heterogeneous Real-Time Image Processing

April 13th, 2015

Mobile devices, such as phones and tablets, offer a plethora of media-rich applications such as photo and video recording and editing, natural user interfaces and computer vision. Other areas of embedded image systems are characterized by close-to-sensor processing, such as advanced driver assistance systems, mobile scanners, and smart devices used in medical and industrial imaging. This demands highest computing capabilities at stringent resource and power budgets as well as hard real-time constraints.

Future scaling of computing performance mandates dramatically improving energy efficiency of image systems. One recognized trend is to use heterogeneous hardware such as big.LITTLE cores and accelerators such as DSPs, embedded GPUs, FPGAs, or dedicated hardware. Another trend is to use new 3D integrated circuit technologies that allow for tighter integration of compute cores, memory and sensors to reduce communication latency and improve bandwidth, leading to lower energy consumption.

This calls for novel methodologies for designing heterogeneous hardware, as well shielding software developers from growing complexity and allowing them to concentrate on algorithm development rather than on low level implementation details. Read the rest of this entry »

HUCAA2015 CFP: Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications

April 13th, 2015

4th International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications (HUCAA 2015)
Sept. 8-11, 2015 – Chicago, IL, US
In conjunction with IEEE CLUSTER 2015
IEEE International Conference on Cluster Computing


The workshop on Heterogeneous and Unconventional Cluster Architectures
and Applications gears to gather recent work on heterogeneous and
unconventional cluster architectures and applications, which might
have an impact on future mainstream cluster architectures. This
includes any cluster architecture that is not based on the usual
commodity components and therefore makes use of some special hard- or
software elements, or that is used for special and unconventional
applications. Read the rest of this entry »

CFP: 8th Workshop on UnConventional High Performance Computing 2015

April 13th, 2015

Recent issues with the power consumption of conventional HPC hardware results in both new interest in accelerator hardware and in usage of mass-market hardware originally not designed for HPC. The most prominent examples are GPUs, but FPGAs, DSPs and embedded designs are also possible candidates to provide higher power efficiency, as they are used in energy-restriced environments, such as smartphones or tablets. The so-called “dark silicon” forecast, i.e. not all transistors may be active at the same time, may lead to even more specialized hardware in future mass-market products. Exploiting this hardware for HPC can be a worthwhile challenge.

UCHPC is held in conjunction with Euro-Par 2015, August 24/25 in Vienna, Austria. More information,including the full call for papers, submission instructions and important dates:

OpenCL Training Course in Calgary, AB – May 26, 2015

April 13th, 2015

Acceleware’s next OpenCL course takes place in Calgary. This professional four day course is designed for programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage data parallel processing capabilities of GPUs. Register before May 12 if you would like to reserve a spot. To find out what the course includes visit:
Learn OpenCL in Calgary

CfP: 3rd Workshop on Parallel and Distributed Agent-Based Simulations (PADABS 2015)

April 13th, 2015

The 3rd Workshop on Parallel and Distributed Agent-Based Simulations (PADABS) is a  satellite Workshop of Euro-Par 2015(Vienna, Austria, 24-28 August 2015).

Agent-Based Simulation Models are an increasingly popular tool for research and management in many fields such as ecology, economics, sociology, etc.. In some fields, such as social sciences, these models are seen as a key instrument to the generative approach, essential for understanding complex social phenomena. But also in policy-making, biology, military simulations, control of mobile robots and economics, the relevance and effectiveness of Agent-Based Simulation Models is recently recognized. Read the rest of this entry »

ADBIS workshop on GPUs in Databases GID 2015

April 13th, 2015

The workshop will take place in Poitiers, France on September 8th, 2015,

Aims and Scope

High performance of modern Graphics Processing Units may be utilized not only for graphics related application but also for general computing. This computing power has been utilized in new variants of many algorithms from almost every computer science domain. Unfortunately, while other application domains strongly benefit from utilizing the GPUs, databases related applications seem not to get enough attention. The main goal of GPUs in Databases workshop is to fill this gap. This event is devoted to sharing the knowledge related to applying GPUs in Database environments and to discuss possible future development of this application domain. Read the rest of this entry »

CfP: High-Performance Graphics 2015: August 7–9

February 10th, 2015

High Performance Graphics is the leading international forum for performance-oriented graphics and imaging systems research, including innovative algorithms, efficient implementations, languages, parallelism, compilers, hardware and architectures for high-performance graphics. The conference brings together researchers, engineers, and architects to discuss the complex interactions of parallel hardware, novel programming models, and efficient algorithms in the design of systems for current and future graphics and visual computing applications.

High Performance Graphics is co-located with SIGGRAPH 2015 in Los Angeles, United States, and will take place on August 7–9, 2015.

More information

CfP: 23rd High Performance Computing Symposium (HPC’15)

November 14th, 2014

The 23rd High Performance Computing Symposium (HPC’15) is held in conjunction with the SCS Spring Simulation Multiconference (SpringSim’15), April 12-15, 2015, in Alexandria, VA, USA.

Topics of interest include:

  • High performance/large scale application case studies
  • GPU for general purpose computations (GPGPU)
  • Multicore and many-core computing
  • Power aware computing
  • Cloud, distributed, and grid computing
  • Asynchronous numerical methods and programming
  • Hybrid system modeling and simulation
  • Large scale visualization and data management
  • Tools and environments for coupling parallel codes
  • Parallel algorithms and architectures
  • High performance software tools
  • Resilience at the simulation level
  • Component technologies for high performance computing

More information:

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