Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers

•Download as PPSX, PDF•

0 likes•831 views

Mshari Alabdulkarim

Technology

Direct-Mapped Cache Performance Outline: ,[object Object]

Reducing Capacity and Compulsory Misses.,[object Object]

The average number of machines cycles per instruction has also been decreasing.,[object Object]

VAX 11/780 is a complex instruction set computer (CISC) machine.

VAX-11/780 was the first model of VAX machines, and it has been introduced on October 25, 1977.

It has been used for a while as a baseline in CPU benchmarks because its speed was about one MIPS.,[object Object]

Direct-Mapped Cache Performance Baseline Design (1):

Direct-Mapped Cache Performance Baseline Design (2): Chip Specifications: ,[object Object]

The first & second level caches are assumed to be direct-mapped ⟹ “fastest effective access time”.

The data cache can be either write-through or write-back. How to obtain? 1 2 3 Very fast on-chip clock Issuing many inst. per cycle Using higher speed technology for the processor chip

Direct-Mapped Cache Performance Baseline Design (3): System Parameters: ,[object Object]

There are two separate first-level caches: instruction and data caches.

The size of the first-level caches is 4KB (with 16B lines).

The size of the second-level is 1MB (with 128B lines).

The miss penalties are assumed to be 24 instruction times for the first level and 320 instruction times for the second level.,[object Object]

Direct-Mapped Cache Performance Baseline Design (5): Baseline system first-level cache miss rates

Direct-Mapped Cache Performance Baseline Design (6): Performance lost in memory hierarchy Baseline design performance Net performance of the system

Direct-Mapped Cache Performance Reducing Conflict Misses (1): Caches Misses Capacity Coherence Compulsory Conflict ,[object Object],[object Object]

Compulsory misses: are misses required in any cache organization because they are the first references to an instruction or piece of data.

Capacity misses: occur when the cache size is not sufficient to hold data between references.

Coherence misses: are misses that occur as a result of invalidation to preserve multiprocessor cache consistency.,[object Object]

Direct-Mapped Cache Performance Reducing Conflict Misses (4): Miss Caching: ,[object Object]

Miss cache: is a small fully-associative cache containing on the order of two to five cache lines of data.

Misses in the cache that hit in the miss cache have only a one cycle miss penalty, as opposed to a many cycle miss penalty without the miss cache.,[object Object]

Direct-Mapped Cache Performance Reducing Conflict Misses (6): How miss cache works? ,[object Object]

Each time the upper cache is probed, the miss cache is probed as well.

If a miss occurs in the upper cache but the address hits in the miss cache, then the direct-mapped cache can be reloaded in the next cycle from the miss cache.,[object Object]

Direct-Mapped Cache Performance Reducing Conflict Misses (8): Victim Caching: How it works? ,[object Object]

In the case of a miss in the direct-mapped cache that hits in the victim cache, the contents of the direct-mapped cache line and the matching victim cache line are swapped.,[object Object]

Direct-Mapped Cache Performance Reducing Conflict Misses (10): Conflict misses removed by victim caching

Direct-Mapped Cache Performance Reducing Conflict Misses (11): Victim cache performance with varying direct-mapped data cache size

Direct-Mapped Cache Performance Reducing Conflict Misses (12): Victim cache performance with varying data cache line size ,[object Object],[object Object]

One way of reducing the number of capacity and compulsory misses is to use prefetch techniques such as longer cache line sizes or prefetching methods.,[object Object]

This lesson plan introduces students to the story Down River by Will Hobbs. It uses a slideshow with images and music to build background knowledge about the setting. Students make predictions about the story and discuss related experiences like camping. They reflect on questions to help understand characters' experiences. For homework, students research an Outward Bound story and write a background for its subject. The lesson aims to motivate reading and understanding of the story.

FIWARE Global Summit - Functional Testing – High-Quality Enablers for High-Qu...

FIWARE

Felix prezentacjalastowska

디자이너를 위한 Svn 사용법

Je Lyoung Kim

2016 February - WebRTC Conference japan - English

Alexandre Gouaillard

WebRTC has been an exciting technology, and extremely fast moving for the past years. While its adoption and its disruptive power are not challenged anymore, the fast evolution pace, and the fast update cycles of the browsers made it difficult to build complex solutions on top of it which would leverage all that webrtc has to offer. Late 2015, the different standard committees and corresponding working groups that compose webRTC have finally reach a consensus, and from the convergence of all their efforts, stable specifications were born. Through the use of GoToMeeting and other software, we will illustrate first the usual pains that most using webrtc have　experienced, and then show how the webrtc APIs, which had started as a peer-to-peer API, were extended with an object model API to provide more options and more controls to this who need it, while keeping the simplicity of P2P for the others. The similitudes between the new Object Model API, and the ORTC API (implemented in edge) will also be illustrated.

Sc08 Talk Final

mrmeswani

This document summarizes Mitesh R. Meswani's dissertation research on improving throughput of simultaneous multithreading (SMT) processors using application signatures and thread priorities. The research shows that prioritizing hardware threads based on an application's resource usage characteristics can improve processor throughput over the default equal priorities in nearly half of all tested applications. Signatures representing an application's floating point, fixed point, cache and TLB utilization are captured. Predictions using signature microbenchmarks improve throughput for 87% of application pairs compared to default priorities.

Simple Site Speed Improvements (SMX 2010)

Ralf Schwoebel

(CMP310) Data Processing Pipelines Using Containers & Spot Instances

Amazon Web Services

It's difficult to find off-the-shelf, open-source solutions for creating lean, simple, and language-agnostic data-processing pipelines for machine learning (ML). This session shows you how to use Amazon S3, Docker, Amazon EC2, Auto Scaling, and a number of open source libraries as cornerstones to build one. We also share our experience creating elastically scalable and robust ML infrastructure leveraging the Spot instance market.

The document discusses the memory hierarchy and cache memories. It begins by describing the main components of the memory system: main memory and secondary memory. The key issues are that microprocessors are much faster than memory, and larger memories are slower. To address this, a memory hierarchy is used that combines fast, small, expensive memory levels with slower, larger, cheaper levels. Caches are discussed as a small, fast memory located between the CPU and main memory. Caches improve performance by exploiting locality of reference in programs. Different cache organizations like direct mapping and set associative mapping are described to determine where blocks are placed in the cache on a miss.

Survey paper _ lakshmi yasaswi kamireddy(651771619)

Lakshmi Yasaswi Kamireddy

This document summarizes several dynamic cache replication mechanisms: Victim Replication replicates cache lines evicted from the local cache to reduce access latency. Adaptive Selective Replication dynamically adjusts replication based on estimated costs and benefits. Adaptive Probability Replication replicates blocks based on predicted reuse probabilities. Dynamic Reusability-based Replication replicates blocks with high reuse. Locality-Aware Data Replication only replicates high-locality blocks to reduce misses while maintaining low replication overhead. The document provides details on these schemes and compares their approaches to dynamic cache block replication.

Reducing fragmentation for in line deduplication

Pvrtechnologies Nellore

The document discusses fragmentation issues that arise from deduplication in backup storage systems. It proposes three algorithms - History-Aware Rewriting (HAR), Cache-Aware Filter (CAF), and Container-Marker Algorithm (CMA) - to address these issues. Experimental results on real-world datasets show that HAR improves restore performance significantly by 2.84-175.36 times while only rewriting 0.5-2.03% of data.

Reducing fragmentation for in line deduplication

Pvrtechnologies Nellore

The document discusses fragmentation issues that arise from data deduplication in backup storage systems. It proposes three algorithms - History-Aware Rewriting algorithm (HAR), Cache-Aware Filter (CAF), and Container-Marker Algorithm (CMA) - to address these issues. Experimental results on real-world datasets show that HAR can significantly improve restore performance by 2.84-175.36 times while only rewriting 0.5-2.03% of data.

Enery efficient data prefetching

Himanshu Koli

This document discusses energy-efficient hardware data prefetching. It begins with an introduction to data prefetching and why it is needed due to the growing gap between processor and memory speeds. It then covers different types of prefetching techniques including software-based, hardware-based, sequential, stride, and pointer prefetching. It also discusses the tradeoffs between software and hardware approaches. Finally, it introduces the concept of energy-aware data prefetching to reduce the increased energy consumption from aggressive prefetching techniques.

Mips 64

nayakslideshare

The document provides an overview of MIPS 64-bit processors. It discusses that MIPS 64-bit architecture is backward compatible with MIPS32 and adds 64-bit addressing. Key features include 64-bit virtual addresses, instruction pointer and registers. It has separate integer and floating point units for high performance. The block diagram shows it has on-chip instruction and data caches, a write buffer, and dual issue superscalar pipelined architecture for high efficiency.

Memory Mapping Cache

Sajith Harshana

The document discusses cache organization and mapping techniques. It describes: 1) Direct mapping where each block maps to one line. Set associative mapping divides cache into sets with multiple lines per set. 2) Replacement algorithms like FIFO and LRU that determine which block to replace when the cache is full. 3) Write policies like write-through and write-back that handle writing cached data back to main memory.

Cache memory

Anand Goyal

cache memory

NAHID HASAN

Cache memory is a small, fast memory located between the CPU and main memory that temporarily stores frequently accessed data. It improves performance by providing faster access for the CPU compared to accessing main memory. There are different types of cache memory organization including direct mapping, set associative mapping, and fully associative mapping. Direct mapping maps each block of main memory to only one location in cache while set associative mapping divides the cache into sets with multiple lines per set allowing a block to map to any line within a set.

Cache Memory.pptx

ssusere16bd9

Cache memory is a small, fast memory located close to the CPU that stores frequently accessed data from main memory to speed up processing. It is organized into multiple levels - L1 cache is inside the CPU, L2 cache is external, and main memory is L3. The cache improves performance by reducing access time - when data is in cache it is a "hit" and very fast to access, while a "miss" requires loading from main memory which is slower. Factors like cache size, mapping technique, replacement policy, and write strategy impact how efficiently it services memory requests.

CPU Memory Hierarchy and Caching Techniques

Dilum Bandara

Multicore Computers

A B Shinde

This document discusses multicore computers and their organization. It describes how hardware performance issues around increasing parallelism and power consumption led to the development of multicore processors. Multicore computers combine two or more processors on a single chip for improved performance. The main variables in multicore organization are the number of cores, levels of cache memory, and whether cache is shared.

AREA, DELAY AND POWER ANALYSIS OF BUILT IN SELF REPAIR USING 2-D REDUNDANCY

VLSICS Design

This document discusses area, delay, and power analysis of built-in self-repair using two-dimensional redundancy. Six different BISR designs are implemented using March algorithms for memory BIST. Fault injection and detection simulation results show faults can be detected and repaired using redundant rows and columns. Analysis shows BISR using March LR has the highest fault coverage while BISR using MATS has the lowest power. Dynamic power is reduced by 10-13% by modifying March elements to reduce address transitions during testing.

Cache memory

Eklavya Gupta

Cache memory is a fast memory located between the CPU and main memory that stores frequently accessed instructions and data. It improves system performance by reducing memory access time. Cache is organized into multiple levels - L1 cache is closest to the CPU, L2 cache is next, and some CPUs have an L3 cache. (Level 1, 2, 3 caches refer to their proximity to the CPU.) Cache memory uses SRAM instead of DRAM for faster access. It is organized into rows containing a data block, tag, and flag bits. Optimization techniques for cache include improving data locality through code transformations and maintaining coherence across cache levels.

Project Slides for Website 2020-22.pptx

AkshitAgiwal1

This document describes a resource efficient ternary content addressable memory (TCAM) architecture. It uses a pipelined layer architecture to increase operating frequency. The TCAM was implemented on an FPGA with a size of 64x32 and achieved a 10.52% higher speed, 7.62% lower power, and 50% lower resource utilization compared to existing designs. When implemented in ASIC using a 45nm process, the proposed TCAM achieved 121.10% higher speed, 70.12% lower power, and an 18.7x smaller area compared to existing designs.

Cache simulator

Suraj Saini

This document describes a cache simulator project. It discusses cache memory, types of cache including L1, L2 and L3 caches. It also describes cache mapping techniques like direct mapping, associative mapping, and set associative mapping. The document explains cache hits and misses. It covers write policies like write-back and write-through. Replacement algorithms like FIFO and LRU are also summarized. The cache simulator calculates metrics like hit rate, runtime, and memory access latency based on a memory access pattern file. It is implemented using data structures like queues for FIFO and doubly linked lists for LRU replacement.

Ways to reduce misses

nellins

This document discusses various techniques for improving cache performance, including reducing the miss rate and miss penalty. It describes reducing misses through larger block sizes, higher associativity, victim caches, and prefetching. It also covers reducing miss penalties via read priority on misses, non-blocking caches, and adding a second level cache. The goal is to improve CPU performance by lowering the miss rate, miss penalty, and time to hit in the cache.

Cpu caching concepts mr mahesh

Faridabad

The document discusses CPU caching concepts. It explains that caches are faster but smaller memories that store copies of frequently accessed data from main memory, due to principles of locality of reference and the speed gap between CPUs and memory. The document outlines cache hierarchy levels, organization, mapping techniques, handling cache misses through replacement policies, updating policies for writes, issues of stale data, and modern research areas like cache coherence for multicore CPUs.

Risc vs cisc

Dileep Bhandarkar

This document compares the RISC Alpha 21164 chip and the CISC Pentium Pro chip. Both chips were leading implementations from their respective architectural schools at the time and were built using similar 0.5-0.6 micron technology. The Alpha 21164 is a quad-issue superscalar design with on-chip caches but no out-of-order execution, while the Pentium Pro uses dynamic execution with register renaming and out-of-order execution. Performance comparisons on industry benchmarks show the Alpha 21164 outperforming the Pentium Pro, though performance is also dependent on system platform and compiler used.

Qo s provisioning for scalable video streaming over ad hoc networks using cro...

Mshari Alabdulkarim

This document discusses providing quality of service (QoS) for scalable video streaming over ad-hoc networks using cross-layer design. It begins by introducing multi-hop wireless networks and ad-hoc networks, noting their advantages and challenges. It then discusses QoS and cross-layer design approaches. The document proposes using cross-layer design to provision QoS for scalable video streaming over ad-hoc networks in order to overcome challenges like variable topology, limited resources and interference.

Generate and test random numbers

Mshari Alabdulkarim

This document discusses methods for generating and testing random numbers. There are two main types of random number generators discussed: combined generators and inversive generators. Combined generators work by combining the outputs of two or more simpler random number generators. They are useful for simulating highly reliable systems or complex networks. The document also discusses how to test random numbers using the Kolmogorov-Smirnov test and runs tests. The Kolmogorov-Smirnov test compares the cumulative distribution function of observed values to expected values, while runs tests examine the arrangements of values in a sequence. Both can be used to determine if a random number generator is producing independent and identically distributed values.

Similar to Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers

Cache management

UET Taxila

lecture-2-3_Memory.pdf,describing memory

floraaluoch3

Survey paper _ lakshmi yasaswi kamireddy(651771619)

Lakshmi Yasaswi Kamireddy

Reducing fragmentation for in line deduplication

Pvrtechnologies Nellore

Reducing fragmentation for in line deduplication

Pvrtechnologies Nellore

Enery efficient data prefetching

Mips 64

Memory Mapping Cache

Cache memory

cache memory

Cache Memory.pptx

CPU Memory Hierarchy and Caching Techniques

Dilum Bandara

Multicore Computers

A B Shinde

AREA, DELAY AND POWER ANALYSIS OF BUILT IN SELF REPAIR USING 2-D REDUNDANCY

VLSICS Design

Cache memory

Eklavya Gupta

Project Slides for Website 2020-22.pptx

AkshitAgiwal1

Cache simulator

Suraj Saini

Ways to reduce misses

nellins

Cpu caching concepts mr mahesh

Faridabad

Risc vs cisc

Dileep Bhandarkar

Similar to Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers (20)

Cache management

lecture-2-3_Memory.pdf,describing memory

Survey paper _ lakshmi yasaswi kamireddy(651771619)

Reducing fragmentation for in line deduplication

Enery efficient data prefetching

Mips 64

Memory Mapping Cache

Cache memory

cache memory

Cache Memory.pptx

CPU Memory Hierarchy and Caching Techniques

Multicore Computers

AREA, DELAY AND POWER ANALYSIS OF BUILT IN SELF REPAIR USING 2-D REDUNDANCY

Cache memory

Project Slides for Website 2020-22.pptx

Cache simulator

Ways to reduce misses

Cpu caching concepts mr mahesh

Risc vs cisc

More from Mshari Alabdulkarim

Qo s provisioning for scalable video streaming over ad hoc networks using cro...

Mshari Alabdulkarim

Generate and test random numbers

Mshari Alabdulkarim

Ad-Hoc Networks

Mshari Alabdulkarim

The document discusses ad-hoc networks and their key characteristics. It describes several challenges in ad-hoc networks including limited battery power, dynamic network topology, and scalability issues. It also summarizes several ad-hoc network routing protocols (e.g. DSDV, AODV, DSR), addressing both table-driven and on-demand approaches. Additionally, it outlines some ad-hoc MAC protocols like MACA and PAMAS that aim to manage shared wireless medium access.

WPA2

Mshari Alabdulkarim

WPA2 is the latest security standard for Wi-Fi networks. It uses AES encryption and 802.1X/EAP authentication to securely transmit data between wireless devices and access points. The four phase process establishes a secure communication context through agreeing on security policies, generating a master key, creating temporary keys, and using the keys to encrypt transmissions. WPA2 provides stronger security than previous standards like WEP and WPA through more robust encryption and authentication methods.

Power Saving in Wireless Sensor Networks

Mshari Alabdulkarim

This document summarizes various techniques for saving energy in wireless sensor networks. It discusses how sensor nodes consume power through transmission, reception, processing and idle listening. It then describes approaches like sleep-wake scheduling, MAC protocols like S-MAC and T-MAC, in-network processing, network coding and scheduled/contention-based communication protocols to minimize energy usage. The goal is to reduce unnecessary listening and maximize the time sensors spend in sleep mode to improve battery life for sensor network applications.

CDMA

Mshari Alabdulkarim

CDMA allows multiple users to share the same channel by assigning each user a unique code. It spreads the user's data signal over a wider bandwidth through multiplication with a pseudo-random code. This allows different signals to be separated at the receiver through correlation with the corresponding code. Major technologies using CDMA include WiFi, Bluetooth, and GPS, which employ techniques like DSSS, FHSS, and long/short codes. Performance of 802.11 networks can be analyzed based on collision probability and throughput calculations under saturated traffic conditions. Later developments expanded CDMA capabilities with techniques like W-CDMA, TD-CDMA, and TD-SCDMA.

More from Mshari Alabdulkarim (6)

Qo s provisioning for scalable video streaming over ad hoc networks using cro...

Generate and test random numbers

Ad-Hoc Networks

WPA2

Power Saving in Wireless Sensor Networks

CDMA

Recently uploaded

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

panagenda

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/ DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen! Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell. Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten. Diese Themen werden behandelt - Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten - Wie funktionieren CCB- und CCX-Lizenzen wirklich? - Verstehen des DLAU-Tools und wie man es am besten nutzt - Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw. - Praxisbeispiele und Best Practices zum sofortigen Umsetzen

TrustArc Webinar - 2024 Global Privacy Survey

TrustArc

How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024? In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe. This webinar will review: - The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey - The top challenges for privacy leaders, practitioners, and organizations in 2024 - Key themes to consider in developing and maintaining your privacy program

Ocean lotus Threat actors project by John Sitima 2024 (1).pptx

SitimaJohn

Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.

GenAI Pilot Implementation in the organizations

kumardaparthi1024

Nordic Marketo Engage User Group_June 13_ 2024.pptx

MichaelKnudsen27

HCL Notes and Domino License Cost Reduction in the World of DLAU

panagenda

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/ The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this! We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model. Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward. These topics will be covered - Reducing license cost by finding and fixing misconfigurations and superfluous accounts - How do CCB and CCX licenses really work? - Understanding the DLAU tool and how to best utilize it - Tips for common problem areas, like team mailboxes, functional/test users, etc - Practical examples and best practices to implement right away

Artificial Intelligence for XMLDevelopment

Octavian Nadolu

In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject. We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup. Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved. The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring. The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise. By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.

UI5 Controls simplified - UI5con2024 presentation

Wouter Lemaire

Your One-Stop Shop for Python Success: Top 10 US Python Development Providers

akankshawande

WeTestAthens: Postman's AI & Automation Techniques

Postman

Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack

shyamraj55

Fueling AI with Great Data with Airbyte Webinar

Zilliz

“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/ Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing. van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.

AI 101: An Introduction to the Basics and Impact of Artificial Intelligence

IndexBug

Columbus Data & Analytics Wednesdays - June 2024

Jason Packer

Serial Arm Control in Real Time Presentation

tolgahangng

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Safe Software

Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!

Main news related to the CCS TSI 2023 (2023/1695)

Jakub Marek

An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers. The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 . The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

saastr

Best 20 SEO Techniques To Improve Website Visibility In SERP

Pixlogix Infotech

Recently uploaded (20)

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

TrustArc Webinar - 2024 Global Privacy Survey

Ocean lotus Threat actors project by John Sitima 2024 (1).pptx

GenAI Pilot Implementation in the organizations

Nordic Marketo Engage User Group_June 13_ 2024.pptx

HCL Notes and Domino License Cost Reduction in the World of DLAU

Artificial Intelligence for XMLDevelopment

UI5 Controls simplified - UI5con2024 presentation

Your One-Stop Shop for Python Success: Top 10 US Python Development Providers

WeTestAthens: Postman's AI & Automation Techniques

Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack

Fueling AI with Great Data with Airbyte Webinar

“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...

AI 101: An Introduction to the Basics and Impact of Artificial Intelligence

Columbus Data & Analytics Wednesdays - June 2024

Serial Arm Control in Real Time Presentation

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Main news related to the CCS TSI 2023 (2023/1695)

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

Best 20 SEO Techniques To Improve Website Visibility In SERP

Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers

1. Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers Eng. MshariAlabdulkarim

3. Baseline Design.

4. Reducing Conflict Misses.

7. VAX 11/780 is a complex instruction set computer (CISC) machine.

8. VAX-11/780 was the first model of VAX machines, and it has been introduced on October 25, 1977.

10. Direct-Mapped Cache Performance Baseline Design (1):

11.

12. The first & second level caches are assumed to be direct-mapped ⟹ “fastest effective access time”.

13. The data cache can be either write-through or write-back. How to obtain? 1 2 3 Very fast on-chip clock Issuing many inst. per cycle Using higher speed technology for the processor chip

14.

15. There are two separate first-level caches: instruction and data caches.

16. The size of the first-level caches is 4KB (with 16B lines).

17. The size of the second-level is 1MB (with 128B lines).

18.

19. Direct-Mapped Cache Performance Baseline Design (5): Baseline system first-level cache miss rates

20. Direct-Mapped Cache Performance Baseline Design (6): Performance lost in memory hierarchy Baseline design performance Net performance of the system

21.

22. Compulsory misses: are misses required in any cache organization because they are the first references to an instruction or piece of data.

23. Capacity misses: occur when the cache size is not sufficient to hold data between references.

24.

25.

26. Miss cache: is a small fully-associative cache containing on the order of two to five cache lines of data.

27.

28.

29. Each time the upper cache is probed, the miss cache is probed as well.

30.

31.

32.

33. Direct-Mapped Cache Performance Reducing Conflict Misses (10): Conflict misses removed by victim caching

34. Direct-Mapped Cache Performance Reducing Conflict Misses (11): Victim cache performance with varying direct-mapped data cache size

35.

36. Capacity misses occur when the cache size is not sufficient to hold data between references.

37.

38. Direct-Mapped Cache Performance Reducing Capacity and Compulsory Misses (3): Limited time for prefetch

39. Direct-Mapped Cache Performance Reducing Capacity and Compulsory Misses (4): Stream Buffers: Goal: start the prefetch before a tag transition can take place.

40.

41. As each prefetch request is sent out, the tag for the address is entered into the stream buffer, and the available bit is set to false.

42. When the prefetch data returns it is placed in the entry with its tag and the available bit is set to true.

43. If a reference misses in the cache but hits in the buffer the cache can be reloaded in a single cycle from the stream buffer.

44.

45.

46.

47. Direct-Mapped Cache Performance Reducing Capacity and Compulsory Misses (8): Four-way stream buffer performance

48. Direct-Mapped Cache Performance Reducing Capacity and Compulsory Misses (9): Stream buffer performance vs. cache size

49. Direct-Mapped Cache Performance Reducing Capacity and Compulsory Misses (10): Stream buffer performance vs. line size

50. Direct-Mapped Cache Performance System performance with victim cache and stream buffers

51. Direct-Mapped Cache Performance Reference: N. P Jouppi, “Improving direct-mapped cache performance by the addition of a small fully-associative cache and prefetch buffers,” in Computer Architecture, 1990. Proceedings., 17th Annual International Symposium on, 2002, 364–373.

52. Direct-Mapped Cache Performance Thank you for your attention

Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers

Recommended

Recommended

More Related Content

Similar to Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers

Similar to Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers (20)

More from Mshari Alabdulkarim

More from Mshari Alabdulkarim (6)

Recently uploaded

Recently uploaded (20)

Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Buffers