Organizations handle a vast amount of data daily, necessitating efficient systems like Hybrid Transactional Analytical Processing (HTAP). This advanced system streamlines online transaction processing (OLTP) and analytical processing (OLAP), enabling real-time insights and prompt actions. HTAP datab

2 views • 22 slides

Characterizing Distributed Systems: Multiple autonomous computers with CPUs, memory, storage, and I/O paths, interconnected geographically, shared state, global invariants. Classifying Distributed Systems: Based on synchrony, communication medium, fault models like crash and Byzantine failures. Comp

9 views • 126 slides

Microprocessor architecture and software design play crucial roles in the development of microprocessors. This article explores the internal features, software design types, and characteristics of Complex Instruction Set Computer (CISC) and Reduce Instruction Set Computer (RISC) architectures. It de

7 views • 73 slides

This study focuses on assuring the reliability of deep neural network architectures against numerical defects, highlighting the importance of addressing issues that lead to unreliable outputs such as NaN or inf. The research emphasizes the widespread and disastrous consequences of numerical defects

0 views • 26 slides

The IBM System/360 (S/360) mainframe computer system family, introduced in 1964, revolutionized computing by offering forward and backward compatibility, a unified instruction set architecture (ISA), and a balance between scientific and business efficiency. The critical elements of this architecture

0 views • 18 slides

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

1 views • 11 slides

Shared memory architectures involve multiple CPUs sharing one memory with a global address space, with challenges like the cache coherence problem. This summary delves into UMA and NUMA architectures, addressing issues like memory latency and bandwidth, as well as the bus-based UMA and NUMA shared m

0 views • 27 slides

Explore the use of logical agents in the Wumpus World domain through three agent architectures: reflex agents, model-based agents, and goal-based agents. Understand how these agents operate in the challenging environment of the Wumpus World, where the task is to find the gold, return to starting pos

0 views • 21 slides

In computer architecture, the Instruction Set Architecture (ISA) level is crucial in defining how a processor executes instructions. This includes the formal defining documents, memory models, registers, and various data types that can be supported. The ISA level specifies the capabilities of a proc

2 views • 13 slides

A distributed system involves software components on different computers communicating through message passing to achieve common goals. Organized with middleware like RMI, it allows for interactions across heterogeneous networks. RMI facilitates building distributed Java systems by enabling method i

1 views • 47 slides

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

0 views • 11 slides

Distributed DBMS reliability is crucial for ensuring continuous user request processing despite system failures. This chapter delves into fundamental definitions, fault classifications, and types of faults like hard and soft failures in distributed systems. Understanding reliability concepts helps i

0 views • 58 slides

Contrasting RISC (Reduced Instruction Set Computing) and CISC (Complex Instruction Set Computing) architectures, the images and descriptions elaborate on their advantages and disadvantages, with a focus on multiplying two numbers in memory using a CISC approach. CISC processors aim to complete tasks

0 views • 35 slides

Shared memory architectures involve multiple CPUs accessing a common memory, leading to challenges like the cache coherence problem. This article delves into different types of shared memory architectures, such as UMA and NUMA, and explores the cache coherence issue and protocols. It also highlights

2 views • 27 slides

This study delves into Byzantine Fault Tolerance (BFT) protocols in the realm of distributed ledgers, exploring the complexities of achieving consensus in trusted adversarial environments. The research examines the classic problem in computer science where distributed nodes communicate to reach agre

0 views • 34 slides

Distributed algorithms play a crucial role in leader election within anonymous systems where nodes lack unique identifiers. The content discusses the challenges and impossibility results of deterministic leader election in such systems. It explains synchronous and asynchronous distributed algorithms

2 views • 11 slides

Delve into the realm of computer architectures with a detailed exploration of Reduced Instruction Set Computing (RISC), Complex Instruction Set Computing (CISC), and Instruction Set Architecture (ISA) variations explained by Prof. Kavita Bala and Prof. Hakim Weatherspoon at Cornell University. Explo

0 views • 55 slides

This research focuses on efficiently managing memory and computing resources for executing multi-agent systems on parallel architectures using OpenCL. The study presents a hybrid approach involving population-level molecular virtual chemistry and individual-level virtual cells. The work enhances a p

1 views • 33 slides

This content covers Parallel Random Access Machine (PRAM) architectures, algorithms, and performance evaluation. It discusses shared memory models, PRAM processors, network models, and provides definitions related to parallel computation. Insight from experts Joseph F. JaJa and Uzi Vishkin is includ

0 views • 27 slides

Background information on the inclusion of indication of country of UE location in network messages for PLMN selection in 5G and IoT architectures. Discussions on the necessity, impact, and decisions regarding this indication, along with ongoing proposals and requirements. Consideration of factors s

0 views • 5 slides

This survey explores key research topics in designing future internet architectures, focusing on innovations, content/data-oriented paradigms, mobility challenges, cloud-computing architectures, security considerations, and experimental testbeds. The study emphasizes the need for collaborative proje

0 views • 43 slides

Distributed systems encompass a range of technologies aimed at improving storage efficiency and reliability. This includes RAID (Redundant Array of Inexpensive Disks) strategies such as RAID levels, Lustre Linux Cluster for high-performance clusters, MogileFS for fast content delivery, and HDFS (Had

0 views • 23 slides

Embedded System Lab explores the challenges of building storage backends on local file systems, focusing on the evolution of Ceph's storage backend over a decade. The presentation delves into the complexities of distributed storage systems like Ceph, highlighting difficulties in leveraging efficient

0 views • 27 slides

Distributed software engineering plays a crucial role in modern enterprise computing systems where large computer-based systems are distributed over multiple computers for improved performance, fault tolerance, and scalability. This involves resource sharing, openness, concurrency, and fault toleran

0 views • 66 slides

This material provides an in-depth look into Instruction Level Parallel (ILP) architectures, covering topics such as hazards, out-of-order execution, branch prediction, and multiple issue architectures. It compares Single-Issue RISC with Superscalar and VLIW architectures, discussing their differenc

0 views • 49 slides

The final examination presented by Fahad A. Arshad at Purdue University in 2014 delves into the complexities of failure characterization and error detection in distributed web applications. The presentation highlights the reasons behind failures, such as limited testing and high developer turnover r

0 views • 53 slides

Represented at OSDI 2012 by Wilson Hsieh, Google Spanner is a globally distributed database system that offers general-purpose transactions and SQL query support. It features lock-free distributed read transactions, ensuring external consistency of distributed transactions. Spanner enables property

0 views • 27 slides

The CAP Theorem, as discussed by Seth Gilbert and Nancy A. Lynch, highlights the tradeoffs between Consistency, Availability, and Partition Tolerance in distributed systems. It explains how a distributed service cannot provide all three aspects simultaneously, leading to practical compromises and re

0 views • 28 slides

In this lecture, Mohammad Hammoud discusses the concept of Distributed Hash Tables (DHT) in distributed systems, focusing on key aspects such as classes of naming, Chord DHT, node entities, key resolution algorithms, and the key resolution process in Chord. The session covers various components of D

0 views • 35 slides

Explore the world of distributed database management and transactions with a focus on topics such as geo-distributed nature, replication, isolation among transactions, transaction recovery, and low-latency maintenance. Understand concepts like serializability, hops, and sequence number vectors in ma

0 views • 17 slides

In NUMA architectures, data placement and thread binding significantly impact application performance. OpenMP plays a crucial role in managing thread creation/termination and variable sharing in parallel regions. Programmers must consider NUMA architecture when optimizing for performance. This invol

0 views • 18 slides

An exploration of computer systems and operating system architectures, covering topics such as CPU modes, monolithic and layered architectures, microkernel architecture, Linux and Windows kernel architectures, as well as devices and their terminology. The content delves into the roles, structures, a

0 views • 57 slides

Shared memory systems allow multiple processors to access the same memory resources, with changes made by one processor visible to all others. This concept is categorized into Uniform Memory Access (UMA) and Non-Uniform Memory Access (NUMA) architectures. UMA provides equal access times to memory, w

0 views • 22 slides

This content delves into the integration of Non-Volatile Memory Modules (NVMM) and Remote Direct Memory Access (RDMA) in Distributed File Systems. It covers various aspects such as new hardware architectures, NVM concepts and technologies, Intel Optane DC memories, incorporation of NVM in memory and

0 views • 22 slides

Explore the concept of a Distributed Shell in the realm of distributed computing systems, where commands can be executed on remote machines with results returned to users. The project involves building a client-server setup for a Distributed Shell, incorporating functionalities like authentication,

0 views • 14 slides

Discover new hardware architectures designed for efficient deep neural network processing, including SCNN accelerators for compressed-sparse Convolutional Neural Networks. Learn about convolution operations, memory size versus access energy, dataflow decisions for reuse, and Planar Tiled-Input Stati

0 views • 23 slides

Ceph is a scalable, high-performance distributed file system designed for excellent performance, reliability, and scalability in very large systems. It employs innovative strategies like distributed dynamic metadata management, pseudo-random data distribution, and decoupling data and metadata tasks

0 views • 42 slides

Ceph is a high-performance distributed file system known for its excellent performance, reliability, and scalability. It decouples metadata and data operations, leverages OSD intelligence for complexity distribution, and utilizes adaptive metadata cluster architecture. Ceph ensures the separation of

0 views • 23 slides

This study delves into the scalability challenges faced by garbage collectors on multicore hardware. It highlights how the performance of garbage collection does not scale effectively with the increasing number of cores, leading to bottlenecks in applications. The shift from centralized to distribut

0 views • 23 slides

Abundant research is being conducted in peer-peer architectures, focusing on evaluating peers to understand system effectiveness. The lack of such assessments led to a detailed study on organizing peers in decentralized systems like Napster and Gnutella. The process involved crawling systems to meas

0 views • 43 slides