This document discusses smart memory architectures. It describes smart memory chips as modular computers containing an array of processor tiles and on-die DRAM memories connected by a packet-based, dynamically-routed network. Each processor tile contains two integer clusters, one floating point cluster, locally connected memory, and a crossbar to connect different memory mats to processor ports. The smart memory architecture reduces I/O bandwidth needs by locating processors and memory on the same die and connecting them with an efficient network. It allows both the processors and memory to be programmed for high performance and low latency computing.
Holographic memory seminar ppt contains all aspects of holography and holographic storage. It provide history and technical background of holography. Contains reading and writing data into photopolymer. Lack of development of HDSS, its application and conclusion.
Holographic data storage is a potential technology in the area of high-capacity data storage currently dominated by magnetic and conventional optical data storage. Magnetic and optical data storage devices rely on individual bits being stored as distinct magnetic or optical changes on the surface of the recording medium. Holographic data storage records information throughout the volume of the medium and is capable of recording multiple images in the same area utilizing light at different angles.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Holographic memory seminar ppt contains all aspects of holography and holographic storage. It provide history and technical background of holography. Contains reading and writing data into photopolymer. Lack of development of HDSS, its application and conclusion.
Holographic data storage is a potential technology in the area of high-capacity data storage currently dominated by magnetic and conventional optical data storage. Magnetic and optical data storage devices rely on individual bits being stored as distinct magnetic or optical changes on the surface of the recording medium. Holographic data storage records information throughout the volume of the medium and is capable of recording multiple images in the same area utilizing light at different angles.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
A talk presented at IEEE ComSoc workshop on Evolution of Data-centers in the context of 5G.
Discuss about what is edge computing and management issues in Edge Computing
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This ppt contains everything about Edge Computing Starting from its Definition, needs, terms involved to its merits, demerits and application use cases
Ubiquitous services that are genuinely user-friendly to everyone will require technologies that enable communication between people and objects in close proximity.
Focusing on the naturalness, inevitability, and sense of security conveyed by touching in everyday life, which describes Human area network that enables communication by touching, which we call RedTacton.
Here, the human body acts as a transmission medium supporting IEEE 802.3 half-duplex communication at 10Mbit/s. The key component of the transceiver is an electric-field sensor implemented with an electro optic crystal and laser light.
Power constraints play a key role in designing Human Area Networks (HANs) for biomonitoring. To alleviate the power constraints, we advocate a design that uses an asynchronous time encoding mechanisms for representing biomonitoring information and the skin surface as the communication channel.
Time encoding does not require a clock while allows perfect signal recovery; the communication channel is operated below 1 MHz. The ultimate human area network solution to all these constraints of conventional technologies is “intrabody” communication, in which the human body serves as the transmission medium.
The concept of intrabody communication, which uses the minute electric field propagated by the human body to transmit information, was first proposed by IBM [1]. The communication mechanism has subsequently been evaluated and reported by several research groups around the world.
includes how i Twin Technology works. why it is more popular, Features, Authentication Policies, comparison with the USB and Cloud Computing Services how it is better than these services.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Rainbow Storage is a group of techniques to store digital data in some colours, colour combinations and symbols in Rainbow Format. The technique is used to achieve high-density storage. With the help of Rainbow system we would be watching full-length high definition videos from a piece of paper! The main attraction is the cheap paper. The Rainbow technology is feasible because printed text, readable by the human eye does not make optimal use of the potential capacity of paper to store data. By printing the data encoded in a denser way much higher capacities can be achieved
In this video from the HPC User Forum in Santa Fe, Yoonho Park from IBM presents: IBM Datacentric Servers & OpenPOWER.
"Big data analytics, machine learning and deep learning are among the most rapidly growing workloads in the data center. These workloads have the compute performance requirements of traditional technical computing or high performance computing, coupled with a much larger volume and velocity of data."
Watch the video: http://wp.me/p3RLHQ-gJv
Learn more: https://openpowerfoundation.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
A talk presented at IEEE ComSoc workshop on Evolution of Data-centers in the context of 5G.
Discuss about what is edge computing and management issues in Edge Computing
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This ppt contains everything about Edge Computing Starting from its Definition, needs, terms involved to its merits, demerits and application use cases
Ubiquitous services that are genuinely user-friendly to everyone will require technologies that enable communication between people and objects in close proximity.
Focusing on the naturalness, inevitability, and sense of security conveyed by touching in everyday life, which describes Human area network that enables communication by touching, which we call RedTacton.
Here, the human body acts as a transmission medium supporting IEEE 802.3 half-duplex communication at 10Mbit/s. The key component of the transceiver is an electric-field sensor implemented with an electro optic crystal and laser light.
Power constraints play a key role in designing Human Area Networks (HANs) for biomonitoring. To alleviate the power constraints, we advocate a design that uses an asynchronous time encoding mechanisms for representing biomonitoring information and the skin surface as the communication channel.
Time encoding does not require a clock while allows perfect signal recovery; the communication channel is operated below 1 MHz. The ultimate human area network solution to all these constraints of conventional technologies is “intrabody” communication, in which the human body serves as the transmission medium.
The concept of intrabody communication, which uses the minute electric field propagated by the human body to transmit information, was first proposed by IBM [1]. The communication mechanism has subsequently been evaluated and reported by several research groups around the world.
includes how i Twin Technology works. why it is more popular, Features, Authentication Policies, comparison with the USB and Cloud Computing Services how it is better than these services.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Rainbow Storage is a group of techniques to store digital data in some colours, colour combinations and symbols in Rainbow Format. The technique is used to achieve high-density storage. With the help of Rainbow system we would be watching full-length high definition videos from a piece of paper! The main attraction is the cheap paper. The Rainbow technology is feasible because printed text, readable by the human eye does not make optimal use of the potential capacity of paper to store data. By printing the data encoded in a denser way much higher capacities can be achieved
In this video from the HPC User Forum in Santa Fe, Yoonho Park from IBM presents: IBM Datacentric Servers & OpenPOWER.
"Big data analytics, machine learning and deep learning are among the most rapidly growing workloads in the data center. These workloads have the compute performance requirements of traditional technical computing or high performance computing, coupled with a much larger volume and velocity of data."
Watch the video: http://wp.me/p3RLHQ-gJv
Learn more: https://openpowerfoundation.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
I understand that physics and hardware emmaded on the use of finete .pdfanil0878
I understand that physics and hardware emmaded on the use of finete element methods to predict
fluid flow over airplane wings,that progress is likely to continue. However, in recent years, this
progress has been achieved through greatly increased hardware complexity with the rise of
multicore and manycore processors, and this is affecting the ability of application developers to
achieve the full potential of these systems. currently performance is measured on a dense
matrix–matrix multiplication test which has questionable relevance to real applications.the
incredible advances in processor technology and all of the accompanying aspects of computer
system design, such as the memory subsystem and networking
In embedded it seems to combination of both hardware and the software , it is used to be
combined function of action in the systems .while we do that the application to developed in the
achieve the full potential of the systems in advanced processer technology.
Hardware
(1) Memory
Advances in memory technology have struggled to keep pace with the phenomenal advances in
processors. This difficulty in improving the main memory bandwidth led to the development of a
cache hierarchy with data being held in different cache levels within the processor. The idea is
that instead of fetching the required data multiple times from the main memory, it is instead
brought into the cache once and re-used multiple times. Intel allocates about half of the chip to
cache, with the largest LLC (last-level cache) being 30MB in size. IBM\'s new Power8 CPU has
an even larger L3 cache of up to 96MB [4]. By contrast, the largest L2 cache in NVIDIA\'s
GPUs is only 1.5MB.These different hardware design choices are motivated by careful
consideration of the range of applications being run by typical users.
One complication which has become more common and more important in the past few years is
non-uniform memory access. Ten years ago, most shared-memory multiprocessors would have
several CPUs sharing a memory bus to access a single main memory. A final comment on the
memory subsystem concerns the energy cost of moving data compared to performing a single
floating point computation.
(2) Processors
CPUs had a single processing core, and the increase in performance came partly from an increase
in the number of computational pipelines, but mainly through an increase in clock frequency.
Unfortunately, the power consumption is approximately proportional to the cube of the
frequency and this led to CPUs with a power consumption of up to 250W.CPUs address memory
bandwidth limitations by devoting half or more of the chip to LLC, so that small applications can
be held entirely within the cache. They address the 200-cycle latency issue by using very
complex cores which are capable of out-of-order execution , By contrast, GPUs adopt a very
different design philosophy because of the different needs of the graphical applications they
target. A GPU usually has a number of functional u.
In this presentation, we will discuss in details about challenges in managing the IT infrastructure with a focus on server sizing, storage capacity planning and internet connectivity. We will also discuss about how to set up security architecture and disaster recovery plan.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
This is free presentation created by ITE Infotech Pvt Ltd for each and every student, those who are interested in field of Information & Technology. I think knowledge of computer hardware should be free for all. It is the basic of every human being in Digital world. Subscribe to your youtube channel @iteinfotech to get absolutely free knowledge of Hardware & Networking.
This is the presentation on clusters computing which includes information from other sources too including my own research and edition. I hope this will help everyone who required to know on this topic.
Designing of telecommand system using system on chip soc for spacecraft contr...IAEME Publication
The emerging developments in semiconductor technology have made possible to design
entire system onto a single chip, commonly known as System-On-Chip (SoC). The increase in Space
System‘s capabilities by the On-board data processing capabilities can be overcome by optimizing
the SoCs to provide cost effective, high performance, and reliable data. This is achieved by
embedding pre-designed functions into a single SoC, which utilizes specialized reusable core (IP
cores) architecture into complex chip. This paper is concerned with the design of Telecommand
system for transfer of signals from ground station to space station by the integration of SRAM (Static
Random Access Memory), ARM (Advanced RISC Machine) Processor, EDAC unit (Error Detection
and Correction) and CCSDS (Consultative Committee for Space Data System) decoder system. In
this paper we designed the Telecommand SoC by using Verilog code. The implementations have
been done using XILINX FPGA platform and the functionality of the system is verified using
Modelsim simulation. The results are analyzed for SPARTAN 3E device and ARM board and two
devices are being controlled by the signal transfer.
Realizing Exabyte-scale PM Centric Architectures and Memory Fabricsinside-BigData.com
In this video from the SNIA Persistent Memory Summit, Zvonimir Bandic from Western Digital presents: Realizing the Next Generation of Exabyte-scale PM Centric Architectures and Memory Fabrics.
In the last five years, the increasing volume, velocity and variety of data generated and consumed by Big Data and Fast Data applications has driven an aggressive pursuit for the next generation of emerging non-volatile memories, particularly in the area of persistent memory. At component level, this memory must be byte-addressable and non-volatile, deliver latency comparable to DRAM, but have density and cost that falls somewhere between DRAM and NAND flash.
Much has been debated about would it take to scale a system to exabyte main memory with the right levels of latencies to address the world’s growing and diverse data needs. This presentation will explore legacy distributed system architectures based on traditional CPU and peripheral attachment of persistent memory, scaled out through the use of RDMA networking. It will discuss the present boundaries of memory and compute technologies, and the many considerations for developing persistent memory, including performance, power, latency requirements and cost merits of parallel and serial attachment points for memories, and show the experimentally measured latency of RDMA access to persistent memory devices.
This presentation will also consider a theoretical question of what would it take to scale a system to exabyte main memory from the perspective of networking fabric required to access such large amounts of main memory at useful latencies. It will explore the “exabyte challenge” from the hardware architecture perspective and, given the present boundaries of memory and compute technologies, quantitatively evaluate latency requirements for memory and memory fabric switch devices. In addition, it will address the ramifications of the large memory footprint of persistent memory for emerging data-intensive workloads, such as high performance data analytics, autonomous vehicles, social networking value extraction, and many traditional memory bound workloads. Finally, it will outline a vision for a prototyping platform for accelerating innovation in networking protocols that will enable experimental evaluation of novel memory fabrics at scale.
Watch the video: https://wp.me/p3RLHQ-i2k
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
3. INTRODUCTION
The continued scaling of integrated circuit fabrication
technology will dramatically affect the architecture of
future computing systems. Scaling will make computation
cheaper, smaller, and lower power, thus enabling more
sophisticated computation in a growing number of
embedded applications. This spread of low-cost, low power
computing can easily be seen in today’s wirede.g. gigabit
Ethernet or DSL) and wireless communication devices,
gaming consoles, and handheld PDAs. These new
applications have different characteristics from today’s
standard workloads, often containing highly data- Parallel
streaming behaviour.
4. SMART MEMORIES OVERVIEW
At the highest level, a Smart Memories chip is a
modular computer. It contains an array of processor
tiles and on-die DRAM memories connected by a
packet-based, dynamically-routed network (Figure).
The network also connects to high-speed links on
the pins of the chip to allow for the construction of
multi-chip systems. Most of the initial hardware
design works in the Smart Memories project has
been on the processor tile design and evaluation, so
this paper focuses on these aspects.
7. INTERCONNECT
To connect the different memory mats to the desired
processor or quad interface port, the tile contains a
dynamically routed crossbar, which supports up to 8
concurrent references.
8. PROCESSOR
The processor portion of a Smart Memories tile is a
64-bit processing engine with reconfigurable
instruction format/decode. The computation
resources of the tile consist of two integer clusters
and one floating point (FP) cluster. The arrangement
of these units and the FP cluster unit mix .
Each integer cluster consists of an ALU, register file,
and load/store unit.
9. I/O TECHNOLOGY CHOICE IN SMART MEMORY
Smart Memory reduces the chip I/O
bandwidth significantly
How to further optimize it?
Based on MoSys data
Bandwidth, latency and I/O bandwidth gap is growing
On-chip bandwidth is much higher than memory I/O
Smart Memory use serial I/O
-4X throughput than RLDRAM and QDR
-3X fewer pins than DDR3 and DDR4
-2.5X reduces I/O power
10. ADVANTAGES
Reduced chip I/O bandwidth
High performance and low latency
Feature rich, flexible and programmable
Lower cost
One chip for several functions
12. CONCLUSION
Smart Memories addresses this issue by extending
the notion of a program. In conventional computing
systems the memories and interconnect between
the processors and memories is fixed, and what the
programmer modifies is the code that runs on the
processor. While this model is completely general,
for many applications it is not very efficient. In
Smart Memories, the user can program the wires
and the memory, as well as the processors.
Briefly explain Jive (or the little I know of it...) , mention the theorem prover, what it does (bullet 3), what diet java is and why it is there (reduced set of rules and stuff), tell what my project was about (transformation into diet java)
simple example for a jive.g trafo
This should be an example of the many ways to do a trafo wrong... and how it could evolve over time...
what would be nice is to