Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #3: FlexTiles DSP Accelerators
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #7: FlexTiles Emulation platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #6: FlexTiles Embedded FPGA Accelerators
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FPL'2014 - FlexTiles Workshop - 8 - FlexTiles DemoFlexTiles Team
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #8: FlexTiles Demo
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #4: FlexTiles Virtual Platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FlexTiles Platform integrated in 19" Rack EnclosureFlexTiles Team
The FlexTiles Development Platform is suitable for verifying the concept of a single 3D SoC chip design, but with a 19" Rack enclosure it can scale to either a larger 3D chip design or become a FPGA-based HPC
OSGi: Best Tool In Your Embedded Systems ToolboxBrett Hackleman
We discuss several of our past and current OSGi-based solutions for defense systems, mining equipment, construction equipment, industrial automation, and automotive/telematics domains. We present some best practices for building flexible, cross-platform, high-performance embedded application and the resulting lessons learned along the way. We demonstrate how the Eclipse Runtime Components and Frameworks can be used to access communication buses such as CAN, J1939, J1850, and MIL-STD-1553. Finally, we explain how using OSGi and Equinox can simplify the development, testing, and deployment of your next application, whether embedded or not.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #7: FlexTiles Emulation platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #6: FlexTiles Embedded FPGA Accelerators
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FPL'2014 - FlexTiles Workshop - 8 - FlexTiles DemoFlexTiles Team
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #8: FlexTiles Demo
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #4: FlexTiles Virtual Platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FlexTiles Platform integrated in 19" Rack EnclosureFlexTiles Team
The FlexTiles Development Platform is suitable for verifying the concept of a single 3D SoC chip design, but with a 19" Rack enclosure it can scale to either a larger 3D chip design or become a FPGA-based HPC
OSGi: Best Tool In Your Embedded Systems ToolboxBrett Hackleman
We discuss several of our past and current OSGi-based solutions for defense systems, mining equipment, construction equipment, industrial automation, and automotive/telematics domains. We present some best practices for building flexible, cross-platform, high-performance embedded application and the resulting lessons learned along the way. We demonstrate how the Eclipse Runtime Components and Frameworks can be used to access communication buses such as CAN, J1939, J1850, and MIL-STD-1553. Finally, we explain how using OSGi and Equinox can simplify the development, testing, and deployment of your next application, whether embedded or not.
FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATIONieijjournal
ASIC (Application Specific Integrated Circuit) design verification takes as long as the designers take to describe, synthesis and implement the design. The hybrid approach, where the design is first prototyped on an FPGA (Field-Programmable Gate Array) platform for functional validation and then implemented as
an ASIC allows earlier defect detection in the design process and thus allows a significant time saving. This paper deals with a CMOS standard-cell ASIC implementation of a SoC (System on Chip) based on the OpenRISC processor for Voice over IP (VoIP) application; where a hybrid approach is adopted. The
architecture of the design is mainly based on the reuse of IPs cores described at the RTL level. This RTL code is technology-independent; hence the design can be ported easily from FPGA to ASIC. Results show that the SoC occupied the area of 2.64mm². Regarding the power consumption, RTL power estimation is given.
Preparing to program Aurora at Exascale - Early experiences and future direct...inside-BigData.com
In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions.
"Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms.
This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems."
Watch the video: https://wp.me/p3RLHQ-lPT
Learn more: https://www.iwocl.org/iwocl-2020/conference-program/
and
https://www.anl.gov/topic/aurora
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
VPX Profiles To Platforms, SIE Computing Solutionsjillmcolna
The goal of VPX is to provide critical embedded system integrators with a more capable module standard that allows for better exploitation of new technologies, enabling more cost effective end systems. The US Department of Defense and other users are now mandating the implementation of COTS Open Standards like VPX and OpenVPX.
In this deck from the Performance Optimisation and Productivity group, Lubomir Riha from IT4Innovations presents: Energy Efficient Computing using Dynamic Tuning.
"We now live in a world of power-constrained architectures and systems and power consumption represents a significant cost factor in the overall HPC system economy. For these reasons, in recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large-scale high performance system installations. Due to the link between energy consumption, power consumption and execution time of an application executed by the final user, it is important for these tools and the methodology used to consider all these aspects, empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives.
This webinar focused on tools designed to improve the energy-efficiency of HPC applications using a methodology of dynamic tuning of HPC applications, developed under the H2020 READEX project. The READEX methodology has been designed for exploiting the dynamic behaviour of software. At design time, different runtime situations (RTS) are detected and optimized system configurations are determined. RTSs with the same configuration are grouped into scenarios, forming the tuning model. At runtime, the tuning model is used to switch system configurations dynamically.
The MERIC tool, that implements the READEX methodology, is presented. It supports manual or binary instrumentation of the analysed applications to simplify the analysis. This instrumentation is used to identify and annotate the significant regions in the HPC application. Automatic binary instrumentation annotates regions with significant runtime. Manual instrumentation, which can be combined with automatic, allows code developer to annotate regions of particular interest."
Watch the video: https://wp.me/p3RLHQ-lJP
Learn more: https://pop-coe.eu/blog/14th-pop-webinar-energy-efficient-computing-using-dynamic-tuning
and
https://code.it4i.cz/vys0053/meric
Sign up for our insideHPC Newsletter: http://insidehpc.com/newslett
"Algorithmic processing performed in High Performance Computing environments impacts the lives of billions of people, and planning for exascale computing presents significant power challenges to the industry. ARM delivers the enabling technology behind HPC. The 64-bit design of the ARMv8-A architecture combined with Advanced SIMD vectorization are ideal to enable large scientific computing calculations to be executed efficiently on ARM HPC machines. In addition ARM and its partners are working to ensure that all the software tools and libraries, needed by both users and systems administrators, are provided in readily available, optimized packages."
Learn more: https://developer.arm.com/hpc
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck, Ronald P. Luijten from IBM Research in Zurich presents: DOME 64-bit μDataCenter.
I like to call it a datacenter in a shoebox. With the combination of power and energy efficiency, we believe the microserver will be of interest beyond the DOME project, particularly for cloud data centers and Big Data analytics applications."
The microserver’s team has designed and demonstrated a prototype 64-bit microserver using a PowerPC based chip from Freescale Semiconductor running Linux Fedora and IBM DB2. At 133 × 55 mm2 the microserver contains all of the essential functions of today’s servers, which are 4 to 10 times larger in size. Not only is the microserver compact, it is also very energy-efficient.
Watch the video: http://wp.me/p3RLHQ-gJM
Learn more: https://www.zurich.ibm.com/microserver/
Sign up for our insideHPC Newsletter: http://insideHPC/newsletter
Building efficient 5G NR base stations with Intel® Xeon® Scalable Processors Michelle Holley
Speaker: Daniel Towner, System Architect for Wireless Access, Intel Corporation
5G brings many new capabilities over 4G including higher bandwidths, lower latencies, and more efficient use of radio spectrum. However, these improvements require a large increase in computing power in the base station. Fortunately the Xeon Scalable Processor series (Skylake-SP) recently introduced by Intel has a new high-performance instruction set called Intel® Advanced Vector Extensions 512 (Intel® AVX-512) which is capable of delivering the compute needed to support the exciting new world of 5G.
In his talk Daniel will give an overview of the new capabilities of the Intel AVX-512 instruction set and show why they are so beneficial to supporting 5G efficiently. The most obvious difference is that Intel AVX-512 has double the compute performance of previous generations of instruction sets. Perhaps surprisingly though it is the addition of brand new instructions that can make the biggest improvements. The new instructions mean that software algorithms can become more efficient, thereby enabling even more effective use of the improvements in computing performance and leading to very high performance 5G NR software implementations.
Conference on Adaptive Hardware and Systems (AHS'14) - The DSP for FlexTilesFlexTiles Team
The FP7 FlexTiles Project uses DSP accelerators. They are connected with each other - and with the general purpose procesors (GPPs) through a Network-on-Chip (NoC). These slides give the details about the DSP accelerator.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #5:FlexTiles Simulation Platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATIONieijjournal
ASIC (Application Specific Integrated Circuit) design verification takes as long as the designers take to describe, synthesis and implement the design. The hybrid approach, where the design is first prototyped on an FPGA (Field-Programmable Gate Array) platform for functional validation and then implemented as
an ASIC allows earlier defect detection in the design process and thus allows a significant time saving. This paper deals with a CMOS standard-cell ASIC implementation of a SoC (System on Chip) based on the OpenRISC processor for Voice over IP (VoIP) application; where a hybrid approach is adopted. The
architecture of the design is mainly based on the reuse of IPs cores described at the RTL level. This RTL code is technology-independent; hence the design can be ported easily from FPGA to ASIC. Results show that the SoC occupied the area of 2.64mm². Regarding the power consumption, RTL power estimation is given.
Preparing to program Aurora at Exascale - Early experiences and future direct...inside-BigData.com
In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions.
"Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms.
This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems."
Watch the video: https://wp.me/p3RLHQ-lPT
Learn more: https://www.iwocl.org/iwocl-2020/conference-program/
and
https://www.anl.gov/topic/aurora
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
VPX Profiles To Platforms, SIE Computing Solutionsjillmcolna
The goal of VPX is to provide critical embedded system integrators with a more capable module standard that allows for better exploitation of new technologies, enabling more cost effective end systems. The US Department of Defense and other users are now mandating the implementation of COTS Open Standards like VPX and OpenVPX.
In this deck from the Performance Optimisation and Productivity group, Lubomir Riha from IT4Innovations presents: Energy Efficient Computing using Dynamic Tuning.
"We now live in a world of power-constrained architectures and systems and power consumption represents a significant cost factor in the overall HPC system economy. For these reasons, in recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large-scale high performance system installations. Due to the link between energy consumption, power consumption and execution time of an application executed by the final user, it is important for these tools and the methodology used to consider all these aspects, empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives.
This webinar focused on tools designed to improve the energy-efficiency of HPC applications using a methodology of dynamic tuning of HPC applications, developed under the H2020 READEX project. The READEX methodology has been designed for exploiting the dynamic behaviour of software. At design time, different runtime situations (RTS) are detected and optimized system configurations are determined. RTSs with the same configuration are grouped into scenarios, forming the tuning model. At runtime, the tuning model is used to switch system configurations dynamically.
The MERIC tool, that implements the READEX methodology, is presented. It supports manual or binary instrumentation of the analysed applications to simplify the analysis. This instrumentation is used to identify and annotate the significant regions in the HPC application. Automatic binary instrumentation annotates regions with significant runtime. Manual instrumentation, which can be combined with automatic, allows code developer to annotate regions of particular interest."
Watch the video: https://wp.me/p3RLHQ-lJP
Learn more: https://pop-coe.eu/blog/14th-pop-webinar-energy-efficient-computing-using-dynamic-tuning
and
https://code.it4i.cz/vys0053/meric
Sign up for our insideHPC Newsletter: http://insidehpc.com/newslett
"Algorithmic processing performed in High Performance Computing environments impacts the lives of billions of people, and planning for exascale computing presents significant power challenges to the industry. ARM delivers the enabling technology behind HPC. The 64-bit design of the ARMv8-A architecture combined with Advanced SIMD vectorization are ideal to enable large scientific computing calculations to be executed efficiently on ARM HPC machines. In addition ARM and its partners are working to ensure that all the software tools and libraries, needed by both users and systems administrators, are provided in readily available, optimized packages."
Learn more: https://developer.arm.com/hpc
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck, Ronald P. Luijten from IBM Research in Zurich presents: DOME 64-bit μDataCenter.
I like to call it a datacenter in a shoebox. With the combination of power and energy efficiency, we believe the microserver will be of interest beyond the DOME project, particularly for cloud data centers and Big Data analytics applications."
The microserver’s team has designed and demonstrated a prototype 64-bit microserver using a PowerPC based chip from Freescale Semiconductor running Linux Fedora and IBM DB2. At 133 × 55 mm2 the microserver contains all of the essential functions of today’s servers, which are 4 to 10 times larger in size. Not only is the microserver compact, it is also very energy-efficient.
Watch the video: http://wp.me/p3RLHQ-gJM
Learn more: https://www.zurich.ibm.com/microserver/
Sign up for our insideHPC Newsletter: http://insideHPC/newsletter
Building efficient 5G NR base stations with Intel® Xeon® Scalable Processors Michelle Holley
Speaker: Daniel Towner, System Architect for Wireless Access, Intel Corporation
5G brings many new capabilities over 4G including higher bandwidths, lower latencies, and more efficient use of radio spectrum. However, these improvements require a large increase in computing power in the base station. Fortunately the Xeon Scalable Processor series (Skylake-SP) recently introduced by Intel has a new high-performance instruction set called Intel® Advanced Vector Extensions 512 (Intel® AVX-512) which is capable of delivering the compute needed to support the exciting new world of 5G.
In his talk Daniel will give an overview of the new capabilities of the Intel AVX-512 instruction set and show why they are so beneficial to supporting 5G efficiently. The most obvious difference is that Intel AVX-512 has double the compute performance of previous generations of instruction sets. Perhaps surprisingly though it is the addition of brand new instructions that can make the biggest improvements. The new instructions mean that software algorithms can become more efficient, thereby enabling even more effective use of the improvements in computing performance and leading to very high performance 5G NR software implementations.
Conference on Adaptive Hardware and Systems (AHS'14) - The DSP for FlexTilesFlexTiles Team
The FP7 FlexTiles Project uses DSP accelerators. They are connected with each other - and with the general purpose procesors (GPPs) through a Network-on-Chip (NoC). These slides give the details about the DSP accelerator.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #5:FlexTiles Simulation Platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FPL'2014 - FlexTiles Workshop - 1 - FlexTiles OverviewFlexTiles Team
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #1: FlexTiles overview
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Conference on Adaptive Hardware and Systems (AHS'14) - Why FlexTiles uses OVP...FlexTiles Team
The FlexTiles concept is going to integrate DSPs, GPPs/CPUs and a Embedded FPGA and OVP - http://www.ovpworld.org/ - tools makes it easier to simulate and these Slides will explain how
Conference on Adaptive Hardware and Systems (AHS'14) - The 3D FlexTiles ConceptFlexTiles Team
The FP7 FlexTiles Project's ultimate goal is to design tools for enableing the design of a System-on-Chip that contains CPUs/GPPs, DSPs and FPGA logic and this chip is not an ordinary SoC chip; it's a 3D chip and these slides explains why a 3D concept is requries
Conference on Adaptive Hardware and Systems (AHS'14) - The FlexTiles Embedded...FlexTiles Team
The FP7 FlexTiles Project will provide tools for building a 3D SoC chip. This chip has an FPGA embedded and these slides will explain the ideas and how we will make it a re-configurable fabric like never seen before
Conference on Adaptive Hardware and Systems (AHS'14) - FlexTiles FPGA EmulationFlexTiles Team
The FP7 FlexTiles Project will provide a tool-chain that allows DSPs, CPUs and a FPGA to be implemented on the FlexTiles Development Platform. This slide gives some details about the dynamic re-configurable of the FPGA by the CPU
NFV and SDN: 4G LTE and 5G Wireless Networks on Intel(r) ArchitectureMichelle Holley
The Presentation will outline the KPIs and key optimizations at the platform, NFVi and Stack level in implementing wireless base station stack and Telco Edge cloud on Intel Architecture. The presentation will use the FlexRAN LTE Reference PHY and NEV SDK for MEC to outline the NFV and 5G use cases like network slicing.
A NETWORK-BASED DAC OPTIMIZATION PROTOTYPE SOFTWARE 2 (1).pdfSaiReddy794166
The International Journal of Engineering and Science and Research is online journal in English published. The aim is to publish peer review and research articles without delay in the developing in engineering and science Research.The International Journal of Engineering and Science and Research is online journal in English published. The aim is to publish peer review and research articles without delay in the developing in engineering and science Research.
Accelerating system verilog uvm based vip to improve methodology for verifica...VLSICS Design
In this paper we present the development of Acceleratable UVCs from standard UVCs in System Verilog
and their usage in UVM based Verification Environment of Image Signal Processing designs to increase
run time performance. This paper covers development of Acceleratable UVCs from standard UVCs for
internal control and data buses of ST imaging group by partitioning of transaction-level components and
cycle-accurate signal-level components between the software simulator and hardware accelerator
respectively. Standard Co-Emulation API: Modeling Interface (SCE-MI) compliant, transaction-level
communications link between test benches running on a host system and Emulation machine is established.
Accelerated Verification IPs are used at UVM based Verification Environment of Image Signal Processing
designs both with simulator and emulator as UVM acceleration is an extension of the standard simulationonly
UVM and is fully backward compatible with it. Acceleratable UVCs significantly reduces development
schedule risks while leveraging transaction models used during simulation.
In this paper, we discuss our experiences on UVM based methodology adoption on TestBench-Xpress
(TBX) based technology step by step. We are also doing comparison between the run time performance
results from earlier simulator-only environment and the new, hardware-accelerated environment. Although
this paper focuses on Acceleratable UVC’s development and their usage for image signal processing
designs. Same concept can be extended for non-image signal processing designs.
Programmable I/O Controllers as Data Center Sensor NetworksEmulex Corporation
This is a presentation on 'Programmable I/O Controllers as Data Center Sensor Networks' as presented by Shaun Walsh and Sanjeev Datla at the 2011 Storage Developer's Conference in October 2011.
Adaptive Hardware and Systems (AHS'14) - FlexTiles OVP DemoFlexTiles Team
The OVP - http://www.ovpworld.org/ - tools are used by the FlexTiles Team to simulate the MultiCore implementation of the GPU. In this example, we have 2x MicroBlaze CPU running in Parallel
Conference on Adaptive Hardware and Systems (AHS'14) - FlexTiles IntroductionsFlexTiles Team
FlexTiles is a FP7 Project with the goal of designing a tool-chain for the design of a 3D SoC and prototype on a FPGA Development Platform. This presentation covers the "why, how, when and where" of the Project that will complete in Year 2015
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
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MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
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1. www.flextiles.eu
FlexTiles
Workshop at FPL’2014 conference: FlexTiles FP7 project Low-Power DSP Accelerator Embedded in a Heterogeneous Many-Core Architecture
Marc MORGAN
CSEM – Swiss Center for Electronics and Microtechnology
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
CSEM overview on a single slide
•private company, founded in the 1980’s, not for profit
•approx. 450 employees on 5 sites in Switzerland (HQ in Neuchatel) and a site Brazil
•5 research programs:
1.ultra-low power integrated systems (SoC, Vision, Wireless)
2.systems engineering (med tech, instrumentation, automation)
3.MEMS
4.surface engineering (nano, bio, printable electronics)
5.photovoltaic
•approx. 70 MCHF annual budget
•over 20 start-ups and spin-offs since 1995
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Many-core architecture: GPPs + accelerators
An array of general purpose processors (GPP)
Connected via a Network-on-Chip (NoC)
Complemented with accelerators to optimize speed and power:
DSP processors or specialized logic implemented in embedded-FPGA
Plus memory nodes and I/O
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Many-core architecture: GPPs + accelerators (cont’d)
Several IPs are available for the building blocks
both in the consortium and on the market
architectural choices attempt to retain genericity of the platform CSEM provides an ultra-low power DSP processor for the DSP accelerator It plugs into a generic accelerator interface (AI)
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Accelerator interface (AI)
Interfaces the NoC’s NI to the accelerator by providing services:
programming, control/status, data in, data out, debug
DMA access, word FIFOs, notification
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
DSP accelerator architecture
Choices for the DSP accelerator avoid DSP specific features
the DSP will not run an OS or kernel
the DSP will not use (or at least not require) interruptions
Note: CSEM’s icyflex4 ULP DSP could support both of the above Implement a FIFO manager to handle input and output tokens from/to the accelerator interface (AI) Implement debug and tracing facilities
Debug: JTAG 1149.1 TAP
Tracing: programmable tracing unit
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
DSP accelerator architecture (cont’d)
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Management of the DSP accelerator
Each accelerator is managed by software running on GPPs
virtualization manager: attribution of the accelerator
resource manager: control of the accelerator These managers are in charge of:
transfer of the application (ELF) to the accelerator
signaling the accelerator when to start and when to stop
recovering statistics on usage of the accelerator to optimize the execution of the application on the many-core platform The tracing unit can be managed from the processor or from the JTAG interface
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Application (C code)
C to SpearDE representation Conversion (Thales)
Data parallelisation Mapping (Thales)
Graphic input (manual) + C kernels
Streaming optimisation
(ACE)
Compilation & Link
(ACE)
architecture representation
Master Cores
GPP
Slave cores eFPGA, DSP
Library of IPs
Tool flow and Model of Computation
Binaries
Acc compiler or C2VHDL tools
(CSEM / UR1 / RUB)
Masters control slaves
Architecture
configuration
GUI (KIT)
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
icyflex software development kit
GNU C compiler (gcc) v 4.6.3
icyflex instruction parallelism supported by latest releases of gcc
libc and libm from RedHat’s NewLib
software implementation of IEEE floating-point standard GNU assembler / linker (binutils), v 2.20
BFD / ELF32 object file format
Binary, SREC, IHEX memory image file formats GNU debugger (gdb), v 6.7.1
Mode 1: instruction set simulator of the icyflex core
Mode 2: On-Chip Debug (OCD) through a JTAG interface icyflex instruction set simulator (ISS), written in C++
Phase-accurate, pipelined
Wrappers to SystemC, VHDL (Modelsim), Matlab/Simulink Eclipse integrated development environment, v Helios
CDT C/C++ IDE plug-in
icyflex plug-in
.c
.o
.exe
.log
gcc
ld
gdb
gdb
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
icyflex family of ultra-low power processors
icyflex2
Control
Computing
Power
DSP
icyflex1
icyflex4
1 MUL 2 MAC 4 MAC … 36 MAC
Application
6 μW/MHz
25 μW/MHz
10-150 μW/MHz
12 MAC
power indicated for TSMC 65 nm CMOS
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
icyflex2 vs icyflex4
Feature
icyflex2
icyflex4 VPS=2
Optimized for
Control
DSP
P, X, Y memory buses,
ISA, HW loops, saturation, …
Instruction word [bits]
32 (1 or 2 sub)
64 (1, 2 or 3 sub)
Memory access [bits]
8, 16 or 32
2x (8, 16, 32, 64, 128)
Data processing [bits]
16 or 32, trunc
2x (16 or 32 or 64), full
Single Instr. Multiple Data (SIMD)
No
Yes, up to 8 MAC
Instruction set is reconfigurable
on the fly
No
Yes
Software Development Kit (SDK)
GNU-based tool suite (gcc, gdb) + cycle- accurate instruction set simulator (ISS)
Hardware Devt Kit (HDK)
FPGA-based, customizable
VPS = Vector Processing Slices in the Vector Processing Unit of the DSP
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
blank instructions
configured at run-time
icyflex: reconfigurable instructions and addressing modes
Instruction set
ADD
MUL
SHR
MAC
JUMP
configurable
configurable
SHIFT
MUX
ALU
ACC
ACC
SHIFT
MUX
ALU
ACC
ACC
instruction decoding
cycle N: config MOP
cycle N+1: use MOP
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
DSP in FlexTiles emulators
Emulator 1 (software):
Using Open Virtual Platform (OVP)
Not cycle accurate
The icyflex4 DSP is emulated by a GPP running at a higher frequency Emulator 2 (hardware):
Using an FPGA board with two Xilinx Virtex6 FPGAs
Uses a DFF version of the DSP accelerator
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Exploitation of FlexTiles results at CSEM
CSEM specializes in low power solutions A well-balanced multi-processor design can optimize energy consumption by reducing voltage and frequency For multi-core: we offer CSEM solutions For many-core: CSEM collaborates with 1 or more of our partners
including e.g. a follow up project to produce FlexTiles chips
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The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
FlexTiles FP7 project
For more information regarding the FlexTiles project, visit:
http://www.flextiles.eu
Please take 5 minutes to fill out the survey
on the project web site under the Contact menu
The FlexTiles project is funded in part by FP7, the seventh framework programme of the European Commission.
17. www.flextiles.eu
FlexTiles
Thank you for your attention! For more information: http://www.csem.ch Questions? mailto:marc.morgan@csem.ch