Approximate computing - PowerPoint PPT Presentation


Cloud Computing and Virtualization

Concepts of cloud computing and virtualization, how they enable efficient use of resources, and their advantages and disadvantages. Explore different types of cloud computing services like IaaS, PaaS, SaaS, and DaaS.

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Research Computing & Data Services at USC Center

The advanced research computing and data services provided by USC Center for Advanced Research Computing (CARC) to enhance research productivity and drive excellence in USC's research community.

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Green Computing

Green computing involves using computers and related resources in an environmentally responsible manner by implementing energy-efficient components and proper disposal of e-waste. It is gaining attention from environmental organizations, businesses, and industries due to the rising electricity usage

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Leveraging Data Warehouse and Cloud Computing for Informed Decision-Making

Embracing data warehouse and cloud computing solutions empowers organizations to efficiently manage and leverage valuable business data. Data warehouse acts as a pivotal information provider, facilitating access to structured and relevant data for decision-makers. In this digital era, the amalgamati

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Exploring the Global Healthcare Cloud Computing Market | BIS Research

According to BIS Research, the Global Healthcare Cloud Computing Market report provides a comprehensive analysis of the trends, key drivers and challenges in the healthcare cloud computing industry.

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Teaching Green Computing Online: 15 Years of Student Engagement via Nudging

Delve into Tom Worthington's innovative approach to teaching green computing online, spanning 15 years of successful student engagement through gentle nudges. Explore the evolution of the course, from its inception to its current structure, designed to combat global warming through ICT CO2 reduction

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Computing Degree Plans and Offerings at School of Computing

Explore the diverse degree plans and offerings at the School of Computing, including Honours and General degrees, minors, and certificates in Data Analytics. Plan selection is crucial for advancing to second-year courses, with automatic acceptance and pending list options available. Discover the var

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Intro to Computing

Computers have evolved from being luxury items for large corporations to ubiquitous devices present all around us. The progress in hardware and software design has led to exponential growth in processing power and memory, making computing devices more affordable and powerful. The future of computing

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Understanding Data Centers and Cloud Computing Technologies

Explore the world of data centers and cloud computing through topics such as data center functionalities, cloud computing advantages, challenges in Data-Center Networks (DCNs), cost breakdowns, server utilization considerations, and more. Delve into the intricacies of managing large-scale computing

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Introduction to Quantum Computing: Exploring the Future of Information Processing

Quantum computing revolutionizes information processing by leveraging quantum mechanics principles, enabling faster algorithms and secure code systems. Advancements in quantum information theory promise efficient distributed systems and combinatorial problem-solving. Discover the evolution of quantu

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Understanding Machine Instruction Sets in Computing

This material discusses the characteristics and functions of machine instruction sets in the context of computing technology. It covers essential elements of machine instructions, types of operands, and the operation of the processor. Topics include operation codes, operand references, and instructi

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Exploring Parallel Computing: Concepts and Applications

Dive into the world of parallel computing with an engaging analogy of picking apples, relating different types of parallelism. Learn about task and data decomposition, software models, hardware architectures, and challenges in utilizing parallelism. Discover the potential of completing multiple part

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Distributed and Cluster Computing Overview

Distributed computing involves executing programs across multiple connected computers, like in peer-to-peer (P2P) networks. Each computer acts as both a client and server. This method offers advantages such as easy setup and cost-effectiveness, but faces challenges like network security risks. On th

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Understanding Parallel and Distributed Computing Systems

In parallel computing, processing elements collaborate to solve problems, while distributed systems appear as a single coherent system to users, made up of independent computers. Contemporary computing systems like mobile devices, IoT devices, and high-end gaming computers incorporate parallel and d

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Arrays as Pointers: Fundamentals of Computing

Explore the concept of using arrays as pointers in the context of computing. Learn how to create array of char pointers to store multiple strings, access elements in arrays of pointers, and understand the rules for accessing individual elements. Discover the nuances of pointer manipulation and array

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Understanding Mobile Computing and TCP/IP Protocol Suite

Mobile computing is crucial for continuous internet connectivity regardless of physical location. The TCP/IP protocol suite, consisting of Transmission Control Protocol (TCP) and Internet Protocol (IP), forms the backbone of internet infrastructure. IP addressing and mobility challenges are addresse

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Understanding Mobile Computing: Principles and Advantages

Mobile computing refers to the interaction between humans and computers through wireless devices, enabling the transmission of voice, video, and data without physical connections. It allows users to transmit data wirelessly, enhancing portability, productivity, and entertainment. This technology com

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Understanding Parallel and Distributed Systems in Computing

A parallel computer is a collection of processing elements that collaborate to solve problems, while a distributed system comprises independent computers appearing as a single system. Contemporary computing systems, like mobile devices and cloud platforms, utilize parallel and distributed architectu

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Understanding Complex Computing Problem (CCP) and Complex Computing Activity (CCA)

Dr. Saman Hina, along with Dr. Farrukh Arif and Dr. Maria Waqas, presents information on Complex Computing Problem (CCP) - a problem involving technical, computing, and other issues with no obvious solution, requiring deep knowledge and analytical thinking. CCP is evaluated through predefined rubric

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Understanding Cloud Computing and Its Components

Cloud computing, offered by the Hope Foundation's International Institute of Information Technology, is Internet-based computing that involves remote servers sharing data-processing tasks and resources. Users can access software without local hardware requirements, empowering them with agility and e

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Exploring Basic Concepts of Advanced Computing Techniques

Delve into the world of advanced computing techniques with Mrs. A. Mullai as she discusses networks, computing, and pervasive (ubiquitous) computing. Discover how networks facilitate data exchange, the role of computing in designing hardware and software systems, and the trend of embedding computati

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Exploring Emerging Technologies in Cloud Computing

Cloud computing revolutionizes accessibility to computing resources through shared pools. Next-generation applications, edge computing, and web applications on the cloud are shaping the future. CloudPath offers a platform for executing third-party applications across distributed data centers. Real-w

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Understanding Cloud Computing, Edge Computing, and Their Applications

Cloud computing entails centralized processing of data on powerful servers, offering scalable resources over the internet. Edge computing brings processing closer to data generation points, reducing latency and enhancing security. Both paradigms cater to different needs such as IoT, autonomous vehic

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Evolution of Operating Systems over the Decades

Operating systems have evolved over the past 50 years through distinct phases, from the early history of primitive machines in the 1940s and 1950s to the development of batch processing systems in the 1960s and multimode time-sharing systems in the 1970s. The 1980s marked the era of personal computi

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Exploring Orto-Computing: Bridging the Gap Between Formal and Phenomenological Computing

Meaningful experiments suggest a transition from the formal, Turing-based approach to a structural-phenomenological one called Orto-Computing. This innovative concept integrates mind-matter interaction and non-formal functions within computational systems, offering potential solutions to complexity

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Quantum Algorithms for Least Squares Regression

Quantum computing presents fast algorithms for solving least squares regression problems efficiently, offering solutions for overdetermined linear systems, matrix coherence, and regression computations. These algorithms leverage quantum mechanics to achieve computational speed-ups and approximate so

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Impact of Cloud Computing Technology on Young Firms' Performance

The technology shock of cloud computing has significantly influenced the survival and performance of young firms. Young firms face higher uncertainty, benefit from experimentation, and are resource-constrained, making cloud computing's elastic, fast, and generic nature particularly advantageous. Thi

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Scaling Condor on XSEDE for LIGO - Collaborative Computing Project

The project aims to evaluate the utilization of XSEDE resources by LIGO for large-scale computing tasks, with a focus on distributed computing challenges and fostering a research computing community. Various aspects such as political, cultural, and technical narratives surrounding the collaboration

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Approximate Inference in Bayes Nets: Random vs. Rejection Sampling

Approximate inference methods in Bayes nets, such as random and rejection sampling, utilize Monte Carlo algorithms for stochastic sampling to estimate complex probabilities. Random sampling involves sampling in topological order, while rejection sampling generates samples from hard-to-sample distrib

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Accuracy-Aware Program Transformations for Energy-Efficient Computing

Explore the concept of accuracy-aware program transformations led by Sasa Misailovic and collaborators at MIT CSAIL. The research focuses on trading accuracy for energy and performance, harnessing approximate computing, and applying automated transformations in program optimization. Discover how to

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Summary of SCD Computing Metrics and Scientific Computing for January 23rd - January 30th, 2017

This summary covers a range of topics related to scientific computing metrics and SCD computing services from January 23rd to January 30th, 2017. It includes details on service areas, offerings, job operations, resource provisioning, database management, system monitoring, and more. The summary also

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Metaheuristics and Hybrid Approaches in Multi-Objective Optimization

Multi-objective optimization involves solving complex problems with conflicting objectives, such as minimizing makespan and tardiness in flow shop scheduling. Pareto Optimal Solutions are sought, where improving one objective cannot be done without worsening another. Metaheuristics like S and P meth

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Overview of the Computing Community Consortium

The Computing Community Consortium (CCC) was established in 2006 under the Computing Research Association (CRA) to develop a vision for computing research and communicate it to stakeholders. It aims to align computing research with national priorities, encourage high-impact research, and groom new l

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Automated Statistical Inference for Approximate Measurement Burdens

SketchLearn explores relieving user burdens in approximate measurement through automated statistical inference. The research delves into addressing challenges such as specifying errors, defining thresholds, handling network traffic, and optimizing measurement algorithms. By identifying and mitigatin

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Overview of BlinkDB: Query Optimization for Very Large Data

BlinkDB is a framework built on Apache Hive, designed to support interactive SQL-like aggregate queries over massive datasets. It creates and maintains samples from data for fast, approximate query answers, supporting various aggregate functions with error bounds. The architecture includes modules f

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Advanced Cloud Computing Solutions with DIRAC Services

Explore advanced cloud computing solutions offered by DIRAC services at IN2P3, including maintenance, operation, VM scheduling, and contextualization. Learn about dynamic VM spawning, cloud endpoint abstraction, and virtual machine monitoring for efficient resource allocation. Stay updated on the la

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Introduction to Mobile Computing Principles and Designing Mobile Applications

Mobile computing systems involve computing capabilities that can be utilized while on the move, leveraging wireless connectivity, small size, and mobile-specific functionalities. The history of mobile computing traces back to military origins and has evolved with technologies like GPS and wireless t

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Introduction to Boston University's Shared Computing Cluster

Boston University's Shared Computing Cluster (SCC) provides researchers with access to a high-performance computing environment for running code, collaborating on shared data, and utilizing specialized software packages. With over 800 nodes, 20,000 processors, and hundreds of GPUs, the SCC offers re

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Lower Bounds on Sampling Good Codes in Bounded-Depth Circuits

Bounded-depth circuits are proven unable to sample or approximate good codes effectively. This work delves into lower bounds, showcasing that bounded families of circuits face limitations in computing specific functions or sampling distributions. The example of Parity in AC0 circuits illustrates the

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ACCEPT: A Programmer-Guided Compiler Framework for Practical Approximate Computing

ACCEPT is an Approximate C Compiler framework that allows programmers to designate which parts of the code can be approximated for energy and performance trade-offs. It automatically determines the best approximation parameters, identifies safe approximation areas, and can utilize FPGA for hardware

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