Lecture 3a: Instructions: Language of the Computer (2/3) John Owens Introduction to Computer Architecture UC Davis EEC 170, Winter 2021 From last time … ▪ What instructions look like -add, sub, ld, sw, addi – RISC-V: 32 bit instructions, different types (R, I, S) – RISC-V: Instructions either compute something or move something to/from memory […]
Carnegie Mellon Page Tables A page table is an array of page table entries (PTEs) that maps virtual pages to physical pages. Per-process kernel data structure in DRAM VP 1 VP 2 VP 7 VP 4 Valid PTE 0 Physical page number or disk address Physical memory (DRAM) PP 0 PP 3 Virtual
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Carnegie Mellon Referencing Nonexistent Variables Forgetting that local variables disappear when a function returns int *foo () { int val; return &val; } 1 Carnegie Mellon Freeing Blocks Multiple Times Nasty! x = malloc(N*sizeof(int)); free(x); y = malloc(M*sizeof(int)); free(x); 2 Carnegie Mellon Referencing Freed Blocks Evil! x = malloc(N*sizeof(int)); free(x); … y
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Carnegie Mellon Fragmentation Poor memory utilization caused by fragmentation internal fragmentation external fragmentation 1 Carnegie Mellon Internal Fragmentation For a given block, internal fragmentation occurs if payload is smaller than block size Internal fragmentation Caused by Internal fragmentation Block Payload Overhead of maintaining heap data structures Padding for
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Carnegie Mellon Dynamic Memory Allocation Programmers use dynamic memory allocators (such as malloc) to acquire VM at run time. For data structures whose size is only known at runtime. Dynamic memory allocators manage an area of process virtual memory known as the heap. Top of heap (brk ptr) Application Dynamic Memory Allocator
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Center Based Clustering: A Foundational Perspective Pranjal Awasthi and Maria-Florina Balcan Princeton University and Carnegie Mellon University November 10, 2014 Abstract In the first part of this chapter we detail center based clustering methods, namely methods based on finding a “best” set of center points and then assigning data points to their nearest center. In
High Performance Computing Models of Parallel Programming Dr Ligang He Models of Parallel Programming Different approaches for programming on a HPC system include: – Smart compilers, which automatically parallelise sequential codes – Data parallelism: multiple processors run the same operation on different elements of a data structure – Task parallelism: multiple processors run different operations
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FIT2094-FIT3171 Databases Session 6 Tutorial Activities LOGICAL MODELLING FIT Database Teaching Team Complete the week 3 session 6 activities: 6.1 SQL Data Modeler Configuration 6.1.1 Configuring Data Modeler 6.1.2 Configuring Data Types 6.1.3 Configuring System Types Directory 6.2 Using SQL Developer Data Modeler 6.2.1 Accessing Data Modeler 6.2.2 Configuring Logical Model Project 6.2.3 Develop a
Parallel Maximum Clique Problem Problem Descriptions: Maximum Clique Problem (MCP) is a fundamental problem in graph theory. Given a graph G with V vertices and E undirected edges, the maximal clique is the largest subset of vertices in which each vertex is directly connected to every other vertex in the subset. What you need to
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Ve492: Introduction to Artificial Intelligence PL Agents & First Order Logic Paul M-SJTU Joint Institute Slides adapted from AIMA, UM, CMU Copyright By PowCoder代写 加微信 powcoder Learning Objectives ❖ How to implement a logical agent with PL? ❖ What are the limitations of propositional logic? ❖ What is first-order logic? ❖ How to perform inference
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