This document discusses semaphores, which are integer variables that coordinate access to shared resources. It describes counting semaphores, which allow multiple processes to access a critical section simultaneously up to a set limit, and binary semaphores, which only permit one process at a time. Key differences are that counting semaphores can have any integer value while binary semaphores are limited to 0 or 1, and counting semaphores allow multiple slots while binary semaphores provide strict mutual exclusion. Limitations of semaphores include potential priority inversion issues and deadlocks if not used properly.
This document discusses various aspects of computer memory systems including cache memory. It begins by defining key terms related to memory such as capacity, organization, access methods, and physical characteristics. It then covers cache memory in particular, explaining the basic concept of caching as well as aspects of cache design like mapping, replacement algorithms, and write policies. Examples of cache configurations from different processor models over time are also provided.
Memory is encoded, stored, and retrieved through processes. Encoding allows external information to reach our senses. Memory allocation involves setting aside space, such as allocating hard drive space for an application. It places blocks of information in memory systems. To allocate memory, the memory management system tracks available memory and allocates only what is needed, keeping the rest available. If insufficient memory exists, blocks may be swapped. Static and dynamic allocation methods exist, with dynamic using nonpreemptive and preemptive allocation. Nonpreemptive allocation searches memory for available space for a transferring block. Preemptive allocation more efficiently uses memory through compaction. Different memory types store executable code, variables, and dynamically sized structures, with heap memory
The document discusses memory segmentation and paging techniques used in operating systems. Segmentation divides memory into variable-length segments, while paging divides memory into fixed-size pages. Paging maps logical pages to physical frame addresses using a page table for efficient memory access. It allows programs to access more memory than is physically available by swapping pages between memory and disk. The combination of segmentation and paging provides memory protection and reduces internal and external fragmentation.
This document provides an overview of memory management techniques in operating systems, including both static and dynamic allocation approaches. It discusses fixed and variable partitioning for static allocation, as well as first-fit, next-fit, best-fit, and worst-fit algorithms for dynamic allocation. The document also covers fragmentation, base-limit registers, swapping, paging, and segmentation for virtual memory management. The key aspects of paging include using page tables to map virtual to physical addresses, allowing sharing and abstracting physical organization. Segmentation divides memory into logical segments specified by segment tables.
There are three main methods to map main memory addresses to cache memory addresses: direct mapping, associative mapping, and set-associative mapping. Direct mapping is the simplest but least flexible method, while associative mapping is most flexible but also slowest. Set-associative mapping combines aspects of the other two methods, dividing the cache into sets with multiple lines to gain efficiency while remaining reasonably flexible.
Fundamentals of Computer Design including performance measurements & quantita...Gaditek
This document provides an overview of the Computer Architecture course CNE-301 taught by Irfan Ali. The course outline covers topics like fundamentals of computer design, instruction set design, pipelining, memory hierarchy, multiprocessors, and case studies. Recommended books are also mentioned. The document then provides background on computer architecture and organization, the history of computers from first to fourth generations, and embedded systems.
Cache memory is a small, fast memory located close to the CPU that stores frequently accessed instructions and data. It aims to bridge the gap between the fast CPU and slower main memory. Cache memory is organized into blocks that each contain a tag field identifying the memory address, a data field containing the cached data, and status bits. There are different mapping techniques like direct mapping, associative mapping, and set associative mapping to determine how blocks are stored in cache. When cache is full, replacement algorithms like LRU, FIFO, LFU, and random are used to determine which existing block to replace with the new block.
This document discusses semaphores, which are integer variables that coordinate access to shared resources. It describes counting semaphores, which allow multiple processes to access a critical section simultaneously up to a set limit, and binary semaphores, which only permit one process at a time. Key differences are that counting semaphores can have any integer value while binary semaphores are limited to 0 or 1, and counting semaphores allow multiple slots while binary semaphores provide strict mutual exclusion. Limitations of semaphores include potential priority inversion issues and deadlocks if not used properly.
This document discusses various aspects of computer memory systems including cache memory. It begins by defining key terms related to memory such as capacity, organization, access methods, and physical characteristics. It then covers cache memory in particular, explaining the basic concept of caching as well as aspects of cache design like mapping, replacement algorithms, and write policies. Examples of cache configurations from different processor models over time are also provided.
Memory is encoded, stored, and retrieved through processes. Encoding allows external information to reach our senses. Memory allocation involves setting aside space, such as allocating hard drive space for an application. It places blocks of information in memory systems. To allocate memory, the memory management system tracks available memory and allocates only what is needed, keeping the rest available. If insufficient memory exists, blocks may be swapped. Static and dynamic allocation methods exist, with dynamic using nonpreemptive and preemptive allocation. Nonpreemptive allocation searches memory for available space for a transferring block. Preemptive allocation more efficiently uses memory through compaction. Different memory types store executable code, variables, and dynamically sized structures, with heap memory
The document discusses memory segmentation and paging techniques used in operating systems. Segmentation divides memory into variable-length segments, while paging divides memory into fixed-size pages. Paging maps logical pages to physical frame addresses using a page table for efficient memory access. It allows programs to access more memory than is physically available by swapping pages between memory and disk. The combination of segmentation and paging provides memory protection and reduces internal and external fragmentation.
This document provides an overview of memory management techniques in operating systems, including both static and dynamic allocation approaches. It discusses fixed and variable partitioning for static allocation, as well as first-fit, next-fit, best-fit, and worst-fit algorithms for dynamic allocation. The document also covers fragmentation, base-limit registers, swapping, paging, and segmentation for virtual memory management. The key aspects of paging include using page tables to map virtual to physical addresses, allowing sharing and abstracting physical organization. Segmentation divides memory into logical segments specified by segment tables.
There are three main methods to map main memory addresses to cache memory addresses: direct mapping, associative mapping, and set-associative mapping. Direct mapping is the simplest but least flexible method, while associative mapping is most flexible but also slowest. Set-associative mapping combines aspects of the other two methods, dividing the cache into sets with multiple lines to gain efficiency while remaining reasonably flexible.
Fundamentals of Computer Design including performance measurements & quantita...Gaditek
This document provides an overview of the Computer Architecture course CNE-301 taught by Irfan Ali. The course outline covers topics like fundamentals of computer design, instruction set design, pipelining, memory hierarchy, multiprocessors, and case studies. Recommended books are also mentioned. The document then provides background on computer architecture and organization, the history of computers from first to fourth generations, and embedded systems.
Cache memory is a small, fast memory located close to the CPU that stores frequently accessed instructions and data. It aims to bridge the gap between the fast CPU and slower main memory. Cache memory is organized into blocks that each contain a tag field identifying the memory address, a data field containing the cached data, and status bits. There are different mapping techniques like direct mapping, associative mapping, and set associative mapping to determine how blocks are stored in cache. When cache is full, replacement algorithms like LRU, FIFO, LFU, and random are used to determine which existing block to replace with the new block.
The document discusses memory management techniques used in operating systems. It describes logical vs physical addresses and how relocation registers map logical addresses to physical addresses. It covers contiguous and non-contiguous storage allocation, including paging and segmentation. Paging divides memory into fixed-size frames and pages, using a page table and translation lookaside buffer (TLB) for address translation. Segmentation divides memory into variable-sized segments based on a program's logical structure. Virtual memory and demand paging are also covered, along with page replacement algorithms like FIFO, LRU and optimal replacement.
Managing the memory hierarchy
Static and dynamic memory allocations
Memory allocation to a process
Reuse of memory
Contiguous and non contiguous memory allocation
Paging
Segmentation
Segmentation with paging
Linux uses memory management to partition memory between kernel and application spaces, organize memory using virtual addresses, and swap memory between primary and secondary storage. It divides memory using paging into equal-sized pages, creates virtual address spaces, and uses an MMU to translate between virtual and physical addresses. This allows processes to run independently with their own logical view of memory while the physical memory is shared.
a glance on memory management in operating system.
this note is useful for those who are keen to know about how the OS works and a brief explanation regarding several terms such
-paging
segmentation
fragmentation
virtual memory
page table
to A Level A2 Computing students, this light note may be helpful for your revision
Disk storage involves recording data on rotating disks through electronic, magnetic, optical, or mechanical methods. Basic units of data storage are bits, bytes, kilobytes, megabytes, gigabytes, and terabytes. Memory is volatile storage that is directly accessible by the CPU, while disk storage is non-volatile storage that is not directly accessible and requires reading from and writing to through memory. Common disk storage devices include hard disk drives, optical discs, magnetic tapes, floppy disks, portable hard disks, solid state drives, and cloud storage. Formatting prepares a storage device for initial use and may create file systems.
This document discusses intelligent storage systems. It describes the key components of an intelligent storage system including the front end, cache, back end, and physical disks. It discusses concepts like front-end command queuing, cache structure and management, logical unit numbers (LUNs), and LUN masking. The document also provides examples of high-end and midrange intelligent storage arrays and describes EMC's CLARiiON and Symmetrix storage systems in particular.
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.
The document discusses the Linux kernel buffer cache. It describes the structure of buffer headers and the buffer pool. It outlines 5 scenarios for retrieving a buffer, including if the block is found in the hash queue, a free buffer is available, or if a delayed write buffer needs to be written first. It also covers reading and writing blocks to disk using functions like bread(), breada(), bwrite(), and brelse(). The advantages of the buffer cache in reducing disk access and ensuring integrity are presented.
This document discusses different approaches to memory management in operating systems. It begins by describing monoprogramming without swapping or paging, where one program uses all available memory at a time. It then describes multiprogramming using fixed memory partitions, either with separate queues for each partition or a single queue. The challenges of relocation and protection when programs are loaded at different addresses are also covered. Finally, it introduces the concepts of swapping and virtual memory for handling situations where not all active processes fit in main memory.
The document discusses the structure of file systems. It explains that a file system provides mechanisms for storing and accessing files and data. It uses a layered approach, with each layer responsible for specific tasks related to file management. The logical file system contains metadata and verifies permissions and paths. It maps logical file blocks to physical disk blocks using a file organization module, which also manages free space. The basic file system then issues I/O commands to access those physical blocks via device drivers, with I/O controls handling interrupts.
The document discusses memory management in operating systems. It covers key concepts like logical versus physical addresses, binding logical addresses to physical addresses, and different approaches to allocating memory like contiguous allocation. It also discusses dynamic storage allocation using a buddy system to merge adjacent free spaces, as well as compaction techniques to reduce external fragmentation by moving free memory blocks together. Memory management aims to efficiently share physical memory between processes using mechanisms like partitioning memory and enforcing protection boundaries.
Advanced Computer Architecture chapter 5 problem solutionsJoe Christensen
The document discusses cache memory organization and mapping schemes between main memory and cache memory. It provides examples of direct mapping, fully associative mapping, 2-way set associative mapping, and 4-block sector mapping. It also calculates the effective memory access time for a memory hierarchy with a 16KB cache and 1MB main memory, assuming an 8-word block size and 256-word set size with 32-way set associative mapping and a 95% cache hit ratio.
This document discusses different cache mapping schemes. It begins by explaining the goals of cache mapping and some cache design challenges. It then describes the three main mapping schemes: direct mapping, set associative mapping, and fully associative mapping. For each scheme it provides examples to illustrate how an address is broken down into tag, set or line, and offset fields. The document also discusses cache replacement policies and provides a comparison of the different mapping schemes.
This document discusses cache memory organization and characteristics. It begins by describing cache location, capacity, unit of transfer, access methods, and physical characteristics. It then covers the different mapping techniques used in caches, including direct mapping, set associative mapping, and fully associative mapping. The document also discusses cache performance factors like hit ratio, replacement algorithms, write policies, block size, and multilevel cache hierarchies. It provides examples of specific processor cache designs like those used in Intel Pentium processors.
Cache memory is a small, high-speed memory located between the CPU and main memory. It stores copies of frequently used instructions and data from main memory in order to speed up processing. There are multiple levels of cache with L1 cache being the smallest and fastest located directly on the CPU chip. Larger cache levels like L2 and L3 are further from the CPU but can still provide faster access than main memory. The main purpose of cache is to accelerate processing speed while keeping computer costs low.
This document discusses different memory management techniques used in operating systems. It begins by describing the basic components and functions of memory. It then explains various memory management algorithms like overlays, swapping, paging and segmentation. Overlays divide a program into instruction sets that are loaded and unloaded as needed. Swapping loads entire processes into memory for execution then writes them back to disk. Paging and segmentation are used to map logical addresses to physical addresses through page tables and segment tables respectively. The document compares advantages and limitations of these approaches.
This document provides an introduction to multiprocessor systems. It describes how multiprocessor systems use multiple processors together to improve performance and speed over uniprocessor systems. Multiprocessor systems can be tightly or loosely coupled. Tightly coupled systems share memory and communication while loosely coupled systems use separate processors connected via a network. The document discusses different interconnection techniques for multiprocessors like bus-oriented, crossbar, and multistage switching systems. It also covers multiprocessor operating systems and their functions in supporting parallel processing across CPUs.
The document discusses compiler design topics like run-time environments, code generation, and garbage collection.
It covers stack allocation of space, access to non-local data, heap management, introduction to garbage collection and trace-based collection. For code generation, it discusses issues in code generator design, target languages, basic blocks, optimization, and register allocation.
It also provides details on stack allocation, static and dynamic scopes, lexical scopes for nested procedures, displays, storage allocation techniques, and issues in code generator design like instruction selection, evaluation order, and register allocation problems.
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.
The document discusses memory management techniques used in operating systems. It describes logical vs physical addresses and how relocation registers map logical addresses to physical addresses. It covers contiguous and non-contiguous storage allocation, including paging and segmentation. Paging divides memory into fixed-size frames and pages, using a page table and translation lookaside buffer (TLB) for address translation. Segmentation divides memory into variable-sized segments based on a program's logical structure. Virtual memory and demand paging are also covered, along with page replacement algorithms like FIFO, LRU and optimal replacement.
Managing the memory hierarchy
Static and dynamic memory allocations
Memory allocation to a process
Reuse of memory
Contiguous and non contiguous memory allocation
Paging
Segmentation
Segmentation with paging
Linux uses memory management to partition memory between kernel and application spaces, organize memory using virtual addresses, and swap memory between primary and secondary storage. It divides memory using paging into equal-sized pages, creates virtual address spaces, and uses an MMU to translate between virtual and physical addresses. This allows processes to run independently with their own logical view of memory while the physical memory is shared.
a glance on memory management in operating system.
this note is useful for those who are keen to know about how the OS works and a brief explanation regarding several terms such
-paging
segmentation
fragmentation
virtual memory
page table
to A Level A2 Computing students, this light note may be helpful for your revision
Disk storage involves recording data on rotating disks through electronic, magnetic, optical, or mechanical methods. Basic units of data storage are bits, bytes, kilobytes, megabytes, gigabytes, and terabytes. Memory is volatile storage that is directly accessible by the CPU, while disk storage is non-volatile storage that is not directly accessible and requires reading from and writing to through memory. Common disk storage devices include hard disk drives, optical discs, magnetic tapes, floppy disks, portable hard disks, solid state drives, and cloud storage. Formatting prepares a storage device for initial use and may create file systems.
This document discusses intelligent storage systems. It describes the key components of an intelligent storage system including the front end, cache, back end, and physical disks. It discusses concepts like front-end command queuing, cache structure and management, logical unit numbers (LUNs), and LUN masking. The document also provides examples of high-end and midrange intelligent storage arrays and describes EMC's CLARiiON and Symmetrix storage systems in particular.
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.
The document discusses the Linux kernel buffer cache. It describes the structure of buffer headers and the buffer pool. It outlines 5 scenarios for retrieving a buffer, including if the block is found in the hash queue, a free buffer is available, or if a delayed write buffer needs to be written first. It also covers reading and writing blocks to disk using functions like bread(), breada(), bwrite(), and brelse(). The advantages of the buffer cache in reducing disk access and ensuring integrity are presented.
This document discusses different approaches to memory management in operating systems. It begins by describing monoprogramming without swapping or paging, where one program uses all available memory at a time. It then describes multiprogramming using fixed memory partitions, either with separate queues for each partition or a single queue. The challenges of relocation and protection when programs are loaded at different addresses are also covered. Finally, it introduces the concepts of swapping and virtual memory for handling situations where not all active processes fit in main memory.
The document discusses the structure of file systems. It explains that a file system provides mechanisms for storing and accessing files and data. It uses a layered approach, with each layer responsible for specific tasks related to file management. The logical file system contains metadata and verifies permissions and paths. It maps logical file blocks to physical disk blocks using a file organization module, which also manages free space. The basic file system then issues I/O commands to access those physical blocks via device drivers, with I/O controls handling interrupts.
The document discusses memory management in operating systems. It covers key concepts like logical versus physical addresses, binding logical addresses to physical addresses, and different approaches to allocating memory like contiguous allocation. It also discusses dynamic storage allocation using a buddy system to merge adjacent free spaces, as well as compaction techniques to reduce external fragmentation by moving free memory blocks together. Memory management aims to efficiently share physical memory between processes using mechanisms like partitioning memory and enforcing protection boundaries.
Advanced Computer Architecture chapter 5 problem solutionsJoe Christensen
The document discusses cache memory organization and mapping schemes between main memory and cache memory. It provides examples of direct mapping, fully associative mapping, 2-way set associative mapping, and 4-block sector mapping. It also calculates the effective memory access time for a memory hierarchy with a 16KB cache and 1MB main memory, assuming an 8-word block size and 256-word set size with 32-way set associative mapping and a 95% cache hit ratio.
This document discusses different cache mapping schemes. It begins by explaining the goals of cache mapping and some cache design challenges. It then describes the three main mapping schemes: direct mapping, set associative mapping, and fully associative mapping. For each scheme it provides examples to illustrate how an address is broken down into tag, set or line, and offset fields. The document also discusses cache replacement policies and provides a comparison of the different mapping schemes.
This document discusses cache memory organization and characteristics. It begins by describing cache location, capacity, unit of transfer, access methods, and physical characteristics. It then covers the different mapping techniques used in caches, including direct mapping, set associative mapping, and fully associative mapping. The document also discusses cache performance factors like hit ratio, replacement algorithms, write policies, block size, and multilevel cache hierarchies. It provides examples of specific processor cache designs like those used in Intel Pentium processors.
Cache memory is a small, high-speed memory located between the CPU and main memory. It stores copies of frequently used instructions and data from main memory in order to speed up processing. There are multiple levels of cache with L1 cache being the smallest and fastest located directly on the CPU chip. Larger cache levels like L2 and L3 are further from the CPU but can still provide faster access than main memory. The main purpose of cache is to accelerate processing speed while keeping computer costs low.
This document discusses different memory management techniques used in operating systems. It begins by describing the basic components and functions of memory. It then explains various memory management algorithms like overlays, swapping, paging and segmentation. Overlays divide a program into instruction sets that are loaded and unloaded as needed. Swapping loads entire processes into memory for execution then writes them back to disk. Paging and segmentation are used to map logical addresses to physical addresses through page tables and segment tables respectively. The document compares advantages and limitations of these approaches.
This document provides an introduction to multiprocessor systems. It describes how multiprocessor systems use multiple processors together to improve performance and speed over uniprocessor systems. Multiprocessor systems can be tightly or loosely coupled. Tightly coupled systems share memory and communication while loosely coupled systems use separate processors connected via a network. The document discusses different interconnection techniques for multiprocessors like bus-oriented, crossbar, and multistage switching systems. It also covers multiprocessor operating systems and their functions in supporting parallel processing across CPUs.
The document discusses compiler design topics like run-time environments, code generation, and garbage collection.
It covers stack allocation of space, access to non-local data, heap management, introduction to garbage collection and trace-based collection. For code generation, it discusses issues in code generator design, target languages, basic blocks, optimization, and register allocation.
It also provides details on stack allocation, static and dynamic scopes, lexical scopes for nested procedures, displays, storage allocation techniques, and issues in code generator design like instruction selection, evaluation order, and register allocation problems.
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.
This document summarizes a paper that proposes and evaluates the performance of a multithreaded architecture capable of exploiting both coarse-grained parallelism and fine-grained instruction-level parallelism. The architecture distributes processing across multiple processing elements connected by an interconnection network. Each processing element supports multiple concurrently executing threads by grouping instructions from different threads. The architecture introduces a distributed data structure cache to reduce network latency when accessing remote data. Simulation results indicate the architecture achieves high processor throughput and the data structure cache significantly reduces network latency.
The document discusses the data cache design of the Itanium 2 processor. It provides a 4-ported data cache with three cache levels - a 16KB L1 cache for integer loads with 1 cycle latency, a 256KB L2 cache, and a 3MB L3 cache. This cache hierarchy is designed to provide low latency access to large caches needed by commercial and technical applications, while the 4 memory ports and 1-cycle L1 cache support the increased demands from the EPIC instruction set architecture.
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.
Memory Allocation & Direct Memory Allocation in C & C++ Language PPTAkhilMishra50
This document provides an overview of memory allocation in C and C++, including static and dynamic allocation. Static allocation assigns memory at compile-time using the stack, while dynamic allocation assigns memory at run-time using the heap. In C++, new and delete operators are used to allocate and free dynamic memory, while in C functions like malloc(), calloc(), realloc(), and free() perform these tasks. The document explains each function and operator and provides examples of their usage.
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.
Virtual memory is a technique that allows processes to exceed the size of physical memory. It divides programs into pages stored on disk until needed. When a page is accessed, it is copied into RAM. Addresses are translated between virtual and physical addresses by an MMU. Pages are replaced using policies like FIFO. Thrashing occurs when too many page faults slow processing. Demand paging loads pages on first access, while segmentation divides programs into variable blocks. Combined systems use both paging and segmentation.
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.
Semiconductor Memory Fundamentals
Memory Types
Memory Structure and its requirements
Memory Decoding
Examples
Input - Output Interfacing
Types of Parallel Data Transfer or I/O Techniques
Memory management handles allocation of memory to processes and tracks used and free memory. It uses techniques like paging, segmentation, and dynamic allocation from a heap. Paging maps logical addresses to physical pages, avoiding external fragmentation. Segmentation divides memory into logical segments of varying sizes. Dynamic allocation fulfills requests from the heap, managing free blocks and avoiding fragmentation and memory leaks.
Dynamic memory Allocation in c languagekiran Patel
Computer memory can store information temporarily or permanently. There are two types of memory allocation: static allocation at compile time and dynamic allocation at runtime. Dynamic allocation uses functions like malloc(), calloc(), realloc(), and free() to allocate and free memory as needed during program execution. Malloc allocates a single block, calloc allocates multiple blocks and initializes to zero, realloc changes the size of an existing block, and free releases a block back to the system.
The document discusses the differences between user programs and the kernel. It explains that the kernel runs in supervisor mode and manages system resources, loading and allocating memory for user programs. It also covers virtual memory systems, how they use page tables to map virtual to physical addresses, and how the page fault handler works to load pages from disk when needed. Finally, it discusses file systems and techniques used like block buffer caches to reduce disk access and improve performance.
This document discusses different memory management techniques used in operating systems including swapping, contiguous allocation, and dynamic storage allocation. Contiguous allocation can be done using a single or multiple partitions. Dynamic storage allocation uses a first-fit, best-fit, or worst-fit algorithm to allocate memory from holes of available space to requesting processes. Fragmentation, including external and internal fragmentation, is also discussed. Memory management aims to efficiently allocate memory resources to processes while executing programs in memory and tracking the status of allocated and free memory locations.
The document discusses run-time environments in compiler design. It provides details about storage organization and allocation strategies at run-time. Storage is allocated either statically at compile-time, dynamically from the heap, or from the stack. The stack is used to store procedure activations by pushing activation records when procedures are called and popping them on return. Activation records contain information for each procedure call like local variables, parameters, and return values.
This document discusses user-level memory management in Linux programming. It describes the different memory segments of a Linux process including the code, data, BSS, heap and stack segments. It explains how programs can allocate and free dynamic memory at runtime using library calls like malloc(), calloc(), realloc() and free(), as well as system calls like brk() and sbrk(). Examples of allocating, changing the size, and freeing memory are also provided.
Power minimization of systems using Performance Enhancement Guaranteed CachesIJTET Journal
Caches have long been an instrument for speeding memory access from microcontrollers to center based ASIC plans. For hard ongoing frameworks however stores are tricky because of most pessimistic scenario execution time estimation. As of late, an on-chip scratch cushion memory (SPM) to decrease the force and enhance execution. SPM does not productively reuse its space while execution. Here, an execution improvement ensured reserves (PEG-C) to improve the execution. It can likewise be utilized like a standard reserve to progressively store guidelines and information in view of their runtime access examples prompting attain to great execution. All the earlier plans have corruption of execution when contrasted with PEG-C. It has a superior answer for equalization time consistency and normal case execution
Characteristics of Remote Persistent Memory – Performance, Capacity, or Local...inside-BigData.com
In this deck from the 2019 OpenFabrics Workshop in Austin, Paul Grun from Cray presents: Characteristics of Remote Persistent Memory – Performance, Capacity, or Locality. Which One(s)?
Persistent Memory exhibits several interesting characteristics including persistence, capacity and others. These (sometimes)competing characteristics may require system and server architects to make tradeoffs in system architecture. A sometimes overlooked tradeoff is in the locality of the persistent memory, i.e. locally-attached persistent memory versus remote(or fabric-attached) persistent memory. In this session, we explore some of those tradeoffs and take an early look at the emerging use cases for Remote Persistent Memory and how those may impact network architecture and API design.
Watch the video: https://wp.me/p3RLHQ-jZR
Learn more: https://www.openfabrics.org/2019-workshop-agenda-and-abstracts/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
This document defines and provides examples of partial order relations. It discusses the key properties of a partial order being reflexive, antisymmetric, and transitive. Examples are given to show that the relation of greater than or equal to (≥) forms a partial order on integers, while division (|) forms a partial order on positive integers. The document also discusses comparability, total orders, well-ordered sets, and Hasse diagrams which are used to visually represent partial orders.
The primary focus of the PPT is to develop the initial skill of using HTML & CSS programming language to develop a static web page like Portfolio.
This PowerPoint Presentation is of Front End Design.
This PPT will give an entire view on developing the static web page.
This PPT covers the entire topic of Macro Assembler. This Includes the topic such as design of a macro assembler, 3 passes of macro assembler etc.
This is the PPT of System Programming.
This is an PPT about the Icons that are used in Graphical User Interface, the Images that are used for developing a web page & the use of multimedia for various purpose.
This is an PowerPoint Presentation of Front End Design.
This PPT describes about the "Project Tracking" activity & statistical process control at Infosys.
It covers the entire topic such as project tracking, activities tracking, defect tracking, issue tracking, etc.
It covers all main activity of SPC such as SPC analysis, control chart for SPC etc.
This PowerPoint presentation is of "Software Project Management".
This is the PowerPoint presentation on the topic "Peephole Optimization". This presentation covers the entire topic of peephole optimization.
This PowerPoint presentation is of Compiler Design.
This is the PPT of "Routing in Manet". It covers the entire topic of routing protocol.
This PowerPoint presentation is of Data Communication & Computer Network.
The document discusses the design of a two-pass macro preprocessor. In pass one, macro definitions are identified and stored in a macro definition table along with their parameters. A macro name table is also created. In pass two, macro calls are identified and replaced by retrieving the corresponding macro definition and substituting actual parameters for formal parameters using an argument list array. Databases like the macro definition table, macro name table, and argument list array are used to store and retrieve macro information to enable expansion of macro calls. The algorithm scans the input sequentially in each pass to process macro definitions and calls.
This document discusses Vehicular Ad-Hoc Networks (VANETs) which allow vehicles to communicate with each other to share safety and traffic information. It outlines the architecture of VANETs including vehicle-to-vehicle and vehicle-to-infrastructure communication. The document also discusses security issues in VANETs such as bogus information attacks, identity disclosure, and denial-of-service attacks. It proposes the use of authentication, message integrity, privacy, traceability and availability to address these security requirements. The document assumes that roadways are divided into regions managed by trusted roadside infrastructure units.
This document discusses breadth-first search (BFS) and depth-first search (DFS) algorithms for traversing graphs. It provides examples of how BFS uses a queue to search all neighbors at the current level before moving to the next level, while DFS uses a stack and explores each branch as far as possible before backtracking. The document compares key differences between BFS and DFS such as their time and space complexities, usefulness for finding shortest paths, and whether queues or stacks are used. Application areas for each algorithm are also mentioned.
Secant method in Numerical & Statistical MethodMeghaj Mallick
This is an PPT of a Mathematical Paper i.e Numerical & Statistical Method. It contsin the following topic such as "Secant method in Numerical & Statistical Method ".
This document discusses communication and barriers to effective communication. It defines communication as the exchange of information, ideas, thoughts and feelings between individuals through speech, writing and behavior. It then outlines some common barriers to communication, including badly expressed messages, loss in transmission, semantic problems, over or under communication, prejudices on the sender's part, and poor attention, inattentive listening, evaluation, interests/attitudes and refutation on the receiver's part. The document suggests identifying and addressing such barriers to improve communication.
This document provides an introduction to hashing and hash tables. It defines hashing as a data structure that uses a hash function to map values to keys for fast retrieval. It gives an example of mapping list values to array indices using modulo. The document discusses hash tables and their operations of search, insert and delete in O(1) time. It describes collisions that occur during hash function mapping and resolution techniques like separate chaining and linear probing.
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
XP 2024 presentation: A New Look to Leadershipsamililja
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
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2. CONTENTS
What is memory allocation?
Types of memory allocation
Use of stack
Use of heap
Memory allocation model
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3. Meaning of memory allocation
Processes are assigned a specific memory as
per their requirements during their run-
time.
When the program is finished its operation
or is idle, the memory is released and
allocated to another program or merged
within the primary memory.
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4. Types of memory allocation
Memory allocation has two core types;
Static Memory Allocation:
Memory allocated at compile time.
Dynamic Memory Allocation:
Memory allocated at run time.
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6. Memory assignment
Memory assignment usually follow these 2 type of
Data Structures based on the need and use cases
Stack Based
Heap Based
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7. Stack based memory assignment
Allocated memory includes variables whose scope is
associated with functions, procedures, or blocks, in a
program and parameters of function calls.
Memory is allocated when a function or block is
entered and is deallocated when it is exited.
Last-In First-Out (LIFO) nature of the
allocation/deallocation of data leads to Stack based
allocation
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8. Each entry in stack is of some standard size e.g. N bytes
A contiguous area of memory is reserved for the stack.
Only the last entry of the stack is accessible at any time.
Stack data is used to support function calls during
execution
The group of stack entries that pertain to one function
call is called a stack frame.
Stack frame is pushed on the stack during function call
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9. Two provisions are made to facilitate use of stack
frames:
The first entry in a stack frame is a pointer to the
previous stack frame on the stack. This entry facilitates
popping off of a stack frame.
A pointer called the frame base (FB) is used to point
to the start of the topmost stack frame in the
stack.
It helps in accessing various stack entries in the
stack frame.
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10. Heap based memory assignment
The program-controlled dynamic data (PCD data) of
the program is allocated by using Heap
Heap allows allocation/de-allocation of memory in
random order
An allocation request by a process returns with a
pointer to the allocated memory area in the heap, and
the process accesses the allocated memory area
through this pointer.
A de-allocation request returns a pointer to the
memory area to be de-allocated.
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11. Memory allocation model for a
process
The kernel creates a new process when a user issues a
command to execute a program.
At this time, it also decides how much memory it
should allocate to the process
Process needs memory for following components:
Code and static data of the program
Stack
Program-controlled dynamic data (PCD data)
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