Pre-Integrated Volume-Rendering with Randomized Transfer-Functions (V3D2 Work...Frank Oellien
Usage of volume rendering techniques in Chemitry and Medicine
V3D2 Workshop 2002, Braunschweig,
Strategic DFG research initiative "V3D2" ("Distributed Processing and Exchange of Digital Documents")
Heaven: Supporting Systematic Comparative Research of RDF Stream Processing E...Riccardo Tommasini
Stream Reasoning (SR) research field is grown enough to prove that reasoning upon rapidly changing information is possible. RDF Stream Processing (RSP) Engines, systems capable to handle at semantic level RDF-encoded information flows, are increasing in number of implemented solutions. Now the Stream Reasoning community is working on the standardization of the methods and tools that supported their development.
Many Computer Science (CS) research fields shown their interest for a deeper comprehension of their own work nature. Studies like [46, 51] investi- gated the publications in those field, highlighting that the majority of them are allied to an Engineering epistemology. However, they also evinced and criticized the concrete differences with other engineering research areas, which focus on evaluation of the proposed systems and not only on their design and development.
The lacks of an empirical approach can be ascribed to the complex nature of the software systems. However, it is possible to face such studies that can not be easily modeled, reducing the complexity of the analysis keeping intact the relevance of each involved system. In social science and economy, where researchers deal with cross case studies, it is commonly used a System- atic Comparative Research Approach (SCRA) within an experimental setting, which grants properties like repeatability, reproducibility and comparability to build the evaluation upon.
The SR community agreed that it is mandatory evaluating RSP Engines, understanding how these systems perform in real uses cases. Recent works in the filed [53, 41, 19] pursued this goal, providing benchmarks for RSP Engines evaluation. Further analysis pointed out the challenges involved by the Stream Reasoning research and posed the basis for a proper RSP Engines evaluation, describing in detail where previous works have failed and how the can be
improved [44].
The limitations of the existing benchmarking proposals proved that the
empirical evaluation of RSP Engines is just at the beginning. What is still missing in an infrastructure that allows to compare, possibly automatically, the performances of many RSP Engines and that grants the properties of an experimental setting. In this thesis we brace this challenge borrowing from the aerospace engineering the idea of an engine test stand, which is an automatic facility for engine testing and development.
A test stand allows to design experiments and to execute them, evaluat- ing engines in a controlled environment. Thus, we formulate the following research question: ”Can an engine test stand, together with queries, datasets and methods, support Systematic Comparative Research Approach for Stream Reasoning? ”
In this thesis we propose Heaven, an open source framework that enables the Systematic Comparative Approach in the Stream Reasoning research field. Heaven consists of: an RSP Engine Test Stand, which emulates the aerospace engineering facility in the Stream Rea
Hardware Acceleration of Computional Fluid Dynamics SImulations in an Oxygena...HAMSproject
Introduction and State of the Art of our project's application in the biomedical field: simulations of an oxygenator for Extra-Corporeal Circulation (ECC)
Pre-Integrated Volume-Rendering with Randomized Transfer-Functions (V3D2 Work...Frank Oellien
Usage of volume rendering techniques in Chemitry and Medicine
V3D2 Workshop 2002, Braunschweig,
Strategic DFG research initiative "V3D2" ("Distributed Processing and Exchange of Digital Documents")
Heaven: Supporting Systematic Comparative Research of RDF Stream Processing E...Riccardo Tommasini
Stream Reasoning (SR) research field is grown enough to prove that reasoning upon rapidly changing information is possible. RDF Stream Processing (RSP) Engines, systems capable to handle at semantic level RDF-encoded information flows, are increasing in number of implemented solutions. Now the Stream Reasoning community is working on the standardization of the methods and tools that supported their development.
Many Computer Science (CS) research fields shown their interest for a deeper comprehension of their own work nature. Studies like [46, 51] investi- gated the publications in those field, highlighting that the majority of them are allied to an Engineering epistemology. However, they also evinced and criticized the concrete differences with other engineering research areas, which focus on evaluation of the proposed systems and not only on their design and development.
The lacks of an empirical approach can be ascribed to the complex nature of the software systems. However, it is possible to face such studies that can not be easily modeled, reducing the complexity of the analysis keeping intact the relevance of each involved system. In social science and economy, where researchers deal with cross case studies, it is commonly used a System- atic Comparative Research Approach (SCRA) within an experimental setting, which grants properties like repeatability, reproducibility and comparability to build the evaluation upon.
The SR community agreed that it is mandatory evaluating RSP Engines, understanding how these systems perform in real uses cases. Recent works in the filed [53, 41, 19] pursued this goal, providing benchmarks for RSP Engines evaluation. Further analysis pointed out the challenges involved by the Stream Reasoning research and posed the basis for a proper RSP Engines evaluation, describing in detail where previous works have failed and how the can be
improved [44].
The limitations of the existing benchmarking proposals proved that the
empirical evaluation of RSP Engines is just at the beginning. What is still missing in an infrastructure that allows to compare, possibly automatically, the performances of many RSP Engines and that grants the properties of an experimental setting. In this thesis we brace this challenge borrowing from the aerospace engineering the idea of an engine test stand, which is an automatic facility for engine testing and development.
A test stand allows to design experiments and to execute them, evaluat- ing engines in a controlled environment. Thus, we formulate the following research question: ”Can an engine test stand, together with queries, datasets and methods, support Systematic Comparative Research Approach for Stream Reasoning? ”
In this thesis we propose Heaven, an open source framework that enables the Systematic Comparative Approach in the Stream Reasoning research field. Heaven consists of: an RSP Engine Test Stand, which emulates the aerospace engineering facility in the Stream Rea
Hardware Acceleration of Computional Fluid Dynamics SImulations in an Oxygena...HAMSproject
Introduction and State of the Art of our project's application in the biomedical field: simulations of an oxygenator for Extra-Corporeal Circulation (ECC)
The RPCT project aims to define a software framework providing an efficient support for the automatic generation and management of dedicated reconfigurable systems. The starting points of this framework are the high-level specifications provided as dataflow models.
The main outcome of this research is the Multi Dataflow Composer (MDC) tool, which automatically generates a reconfigurable hardware platform. The MDC tool is extremely suitable in video and image processing contexts, portable platforms and bio-medical signal processing applications (i.e. implantable or wearable devices).
The RPCT research project has been developed within the Microelectronics and Bioengineering Lab (EOLAB) of the Department of Electrical and Electronic Engineering at the University of Cagliari.
The RPCT project aims to define a software framework providing an efficient support for the automatic generation and management of dedicated reconfigurable systems. The starting points of this framework are the high-level specifications provided as dataflow models.
The main outcome of this research is the Multi Dataflow Composer (MDC) tool, which automatically generates a reconfigurable hardware platform. The MDC tool is extremely suitable in video and image processing contexts, portable platforms and bio-medical signal processing applications (i.e. implantable or wearable devices).
The RPCT research project has been developed within the Microelectronics and Bioengineering Lab (EOLAB) of the Department of Electrical and Electronic Engineering at the University of Cagliari.
Software Based calculations of Electrical Machine Designvivatechijri
This paper gives an idea about a futuristic method for producing electricity with the This project presents the Designing of Transformer and Induction Motor. Mathematical equations are used for the designing of Transformer and Induction Motor. They help in determining the dimension and electrical parameters which will satisfy specifications such as rating of machine, speed of the machine, etc. used for design. But the design calculation can be a hectic process when done manually. Since the calculation is long and interdependent with each steps the occurrence of error is more likely. Python programming language is adopted for fast computation, to simplify the process and to minimize this error. The program is designed in such a way that allows the user to enter the main specification of the machine. The program performs the calculation required thus allowing the user to obtain the results. In addition, the software would be useful for the education and research purpose.
Tutorial at the European Nanoelectronics Applications, Design & Technology Co...Eugenio Villar
Since its statement more that 50 years ago, Moore's Law has enabled to produce new electronic products with unexpected capabilities. Another consequence of Moore's Law affects the business model. All the electronic products, the electronic components in non-electronic manufactured products and services become obsolete in a short time as a new technology node is available able to produce devices with higher performance at the same cost.
This business model would change in the short time as Moore's Law reaches an end. If Moore's Law changed the world, its end may have an important effect. Cyber-Physical Systems of Systems (CPSoS) will dominate the electronics century becoming pervasive in all the aspects of our daily lives. For the first time, the underlying technology will be stable with only incremental improvements in time. This may make it accessible to many new players looking for a competitive advantage in silicon. Investment would move from the initial stages of the value chain to those closer to the final applications.
In this new scenario, modeling, analysis and design of electronic systems will have to evolve. The focus should be put on the device, not isolated but as a component in a complex, heterogeneous, distributed network of many other computing devices. Services will be offered by the interaction of functional components deployed in many distributed computing resources of many kind, from small motes, embedded systems and smart-phones to large data centers and even High-Performance Computing (HPC) facilities. Electronic design in this new context should address effectively new requirements. Among them, scalability, reusability, human interaction, easy modeling, fast design-space exploration and optimization, powerful functional and extra-functional verification, efficient handling of mixed-criticality and security, etc. An essential aspect will be the availability of powerful, platform independent SW and HW synthesis tools able to produce automatically efficient implementations of the system model on many different computing resources. In this presentation, the effect of this dramatic change in system design will be discussed. A single-source approach supported by powerful design tools will be proposed. Current results from the European FP7 ConTrex project will be described.
An explanation of the rationale behind the use of an FPGA-based system for our solution's implementation. A comparison is made between FPGAs, GPUs and ASICs.
Here you are an introduction to Hardware Acceleration of Matlab Simulations (aka HAMS). We explain the context of the problem and our idea concerning the solution!
1. Politecnico di Milano
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB)
HAMSproject
Chiara Gatti
chiara1.gatti@mail.poimi.it
Guido Lanfranchi
guido2.lanfranchi@mail.polimi.it
WEEKLY UPDATE
April 29th, 2016
NECST Lab, Politecnico di Milano
2. 2
Gantt Chart
WPs and tasks vs time
Context definition
Implementation
Validation
Dissemination
Legend:
3. 3
Last week
➢ Presentation of SoA (via slides)
➢ Benchmark definition
➢ Draft of HW implementation
(Jacobi SVD core)
4. 4
Last week
➢ Presentation of SoA (via slides)
➢ Benchmark definition
➢ Draft of HW implementation
(Jacobi SVD core)
5. 5
Last week
Benchmarks
A1 = rand(8);
A2 = rand(128);
A3 = rand(512);
A4 = rand(2048);
A5 = rand(8192);
>> pinv(A)
➢ Presentation of SoA (via slides)
➢ Benchmark definition
➢ Draft of HW implementation
(Jacobi SVD core)
6. 6
Last week
parameters
computation
U, V column
update
U,V
U’,V’
c,s
➢ Presentation of SoA (via slides)
➢ Benchmark definition
➢ Draft of HW implementation
(Jacobi SVD core)
7. 7
Last week
parameters
computation
U, V column
update
U,V
U’,V’
c,s
➢ Presentation of SoA (via slides)
➢ Benchmark definition
➢ Draft of HW implementation
(Jacobi SVD core)
10. 10
Next week
Marketability analysis and presentation (via slides)
Work on HW implementation
Work on HW implementation
11. 11
Next week
Marketability analysis and presentation (via slides)
Work on HW implementation
Work on HW implementation
Work on HW implementation