Tlb prefetching - PowerPoint PPT Presentation


Enhancing TLB Prefetching for Address Translation Performance

This study explores methods to improve TLB prefetching efficiency by leveraging page table locality, presenting two novel approaches - Sampling-based Free TLB Prefetching (SBFP) and Agile TLB Prefetcher (ATP). These techniques focus on optimizing TLB prefetching mechanisms without disrupting the vir

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Introduction to Operating Systems

Explore the concepts of address translation, Translation Lookaside Buffer (TLB), TLB usage in modern processors, TLB invalidate mechanisms, and hardware design principles related to memory hierarchy using examples from the Intel i7 processor. Understanding the trade-offs and costs associated with TL

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Redesigning the GPU Memory Hierarchy for Multi-Application Concurrency

This presentation delves into the innovative reimagining of GPU memory hierarchy to accommodate multiple applications concurrently. It explores the challenges of GPU sharing with address translation, high-latency page walks, and inefficient caching, offering insights into a translation-aware memory

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Address-first Value-next Predictor with Value Prefetching

Improving single-thread performance in modern processors efficiently is crucial. AVPP proposes optimizations to reduce hardware cost for load value prediction, introducing a new taxonomy of Value Prediction Policies. AVPP outperforms state-of-the-art predictors, providing system performance improvem

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Insights into Virtual Memory Management Challenges

Exploring various aspects of virtual memory management, such as TLB misses, page table optimizations, and the role of hashed page tables, shedding light on the evolution and complexities of memory addressing in computing systems.

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Orchestrated Scheduling and Prefetching for GPGPUs

This paper discusses the implementation of an orchestrated scheduling and prefetching mechanism for GPGPUs to enhance system performance by improving IPC and overall warp scheduling policies. It presents a prefetch-aware warp scheduler proposal aiming to make a simple prefetcher more capable, result

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Mosaic: A GPU Memory Manager Enhancing Performance Through Adaptive Page Sizes

Mosaic introduces a GPU memory manager supporting multiple page sizes for improved performance. By coalescing small pages into large ones without data movement, it achieves a 55% average performance boost over existing mechanisms. This innovative framework transparently enables the benefits of both

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Enhancing System Performance through Prefetching and Caching Strategies

Explore the benefits of prefetching and caching in improving system throughput and reducing latency, while considering energy efficiency. Traditional algorithms are compared, along with strategies for optimal prefetching and replacement to enhance performance and disk utilization efficiency. Learn a

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Fast TLB Simulation for RISC-V Systems - Research Overview

TLB simulator for RISC-V systems introduced to evaluate TLB designs with realistic workloads, focusing on performance rather than cycle accuracy. The design sacrifices some accuracy for improved performance, making it suitable for meaningful software validation and profiling tasks.

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Overcoming Deceptive Idleness with Anticipatory Scheduling

Addressing the issue of deceptive idleness in disk scheduling by implementing an anticipatory scheduling framework that leverages prefetching and anticipation core logic. This framework enhances the efficiency of handling synchronous I/O processes to prevent premature decision-making by the schedule

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Understanding Multiprocessors and Memory Hierarchy

Explore topics such as snooping-based coherence, synchronization, consistency, virtual memory overview, address translation, memory hierarchy properties, TLB functionality, TLB and cache access considerations, and cache indexing strategies in multiprocessor systems.

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Efficient Paging Mechanisms in Operating Systems

Today's lecture covers various paging mechanisms in operating systems, including optimizations for managing page tables efficiently, utilizing Translation Lookaside Buffers (TLBs) for faster translations, implementing demand-paged virtual memory, and advanced functionality like memory sharing, copy-

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Efficient Memory Virtualization: Reducing Dimensionality of Nested Page Walks

TLB misses in virtual machines can lead to high overheads with hardware-virtualized MMU. This paper proposes segmentation techniques to bypass paging and optimize memory virtualization, achieving near-native performance or better. Overheads of virtualizing memory are analyzed, highlighting the impac

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Making Dynamic Page Coalescing Effective on Virtualized Clouds

Creating huge pages through dynamic page coalescing is effective for reducing TLB misses and memory accesses per miss, although it can lead to memory fragmentation and paging overhead. While highly beneficial on native systems, the cost-effectiveness on virtualized platforms is challenged by the inc

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Practical Transparent Operating System Support for Superpages

Presents a general mechanism for efficient OS management of VM pages of different sizes using superpages without requiring user intervention. Addresses limitations of existing Translation Lookaside Buffers (TLB) in managing page table entries. Discusses TLB organization and realizations in processor

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Enhancing TLB Architecture with CoPTA for Improved Performance

CoPTA introduces a novel TLB architecture with contiguous pattern speculating capabilities to optimize address translation, especially for big-data workloads. By modifying TLB and LSQ to support TLB speculation, performance improvements in memory contiguity and prediction accuracy were achieved. The

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Understanding Data Prefetching Techniques in Computer Architecture

Data prefetching is a crucial technique in computer architecture to enhance performance by fetching data in advance of actual use. Through different methods like stride-based prefetching, history-based prefetching, and reference prediction tables (RPT), processors optimize memory access for improved

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Comprehensive Framework for Virtual Memory Research - Virtuoso

Virtuoso is an open-source, modular simulation framework designed for virtual memory research. The framework aims to address performance overheads caused by virtual memory by proposing solutions like improving the TLB subsystem, employing large pages, leveraging contiguity, rethinking page tables, r

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Efficient Instruction Cache Prefetching Techniques

Discussion on issues and solutions related to instruction cache prefetching, including trigger timing, next-line prefetching, I-Shadow cache, and footprint prediction. Evaluation results show improved performance with FNL methodology compared to traditional prefetching methods.

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