V850 Series Pamphlet
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Data Storage the CPU-Memory
Data Storage •Disks • Hard disk (HDD) • Solid state drive (SSD) •Random Access Memory • Dynamic RAM (DRAM) • Static RAM (SRAM) •Registers • %rax, %rbx, ... Sean Barker 1 The CPU-Memory Gap 100,000,000.0 10,000,000.0 Disk 1,000,000.0 100,000.0 SSD Disk seek time 10,000.0 SSD access time 1,000.0 DRAM access time Time (ns) Time 100.0 DRAM SRAM access time CPU cycle time 10.0 Effective CPU cycle time 1.0 0.1 CPU 0.0 1985 1990 1995 2000 2003 2005 2010 2015 Year Sean Barker 2 Caching Smaller, faster, more expensive Cache 8 4 9 10 14 3 memory caches a subset of the blocks Data is copied in block-sized 10 4 transfer units Larger, slower, cheaper memory Memory 0 1 2 3 viewed as par@@oned into “blocks” 4 5 6 7 8 9 10 11 12 13 14 15 Sean Barker 3 Cache Hit Request: 14 Cache 8 9 14 3 Memory 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Sean Barker 4 Cache Miss Request: 12 Cache 8 12 9 14 3 12 Request: 12 Memory 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Sean Barker 5 Locality ¢ Temporal locality: ¢ Spa0al locality: Sean Barker 6 Locality Example (1) sum = 0; for (i = 0; i < n; i++) sum += a[i]; return sum; Sean Barker 7 Locality Example (2) int sum_array_rows(int a[M][N]) { int i, j, sum = 0; for (i = 0; i < M; i++) for (j = 0; j < N; j++) sum += a[i][j]; return sum; } Sean Barker 8 Locality Example (3) int sum_array_cols(int a[M][N]) { int i, j, sum = 0; for (j = 0; j < N; j++) for (i = 0; i < M; i++) sum += a[i][j]; return sum; } Sean Barker 9 The Memory Hierarchy The Memory Hierarchy Smaller On 1 cycle to access CPU Chip Registers Faster Storage Costlier instrs can L1, L2 per byte directly Cache(s) ~10’s of cycles to access access (SRAM) Main memory ~100 cycles to access (DRAM) Larger Slower Flash SSD / Local network ~100 M cycles to access Cheaper Local secondary storage (disk) per byte slower Remote secondary storage than local (tapes, Web servers / Internet) disk to access Sean Barker 10. -
JTAG Programmer Overview for Hercules-Based Microcontrollers
Application Report SPNA230–November 2015 JTAG Programmer Overview for Hercules-Based Microcontrollers CharlesTsai ABSTRACT This application report describes the necessary steps needed by the third party developers to create a JTAG-based flash programmer for the Hercules™ family of microcontrollers. This document does not substitute the existing user guides on JTAG access to the target systems and how to program the Flash memory, but rather serves as a central location to reference these documents with clarifications specific to the implementation of the Hercules family of microcontrollers. Contents 1 Introduction ................................................................................................................... 2 2 Hercules JTAG Scan Architecture......................................................................................... 2 3 Creating the Firmware to Program the Flash Memory ................................................................ 22 4 Flash Verification ........................................................................................................... 23 5 References .................................................................................................................. 23 List of Figures 1 Hercules JTAG Scan Architecture......................................................................................... 3 2 Conceptual ICEPICK-C Block Diagram for Hercules Implementation ................................................ 5 3 Fields of the 32-Bit Scan Value for Accessing Mapped Registers -
The Instruction Set Architecture
Quiz 0 Lecture 2: The Instruction Set Architecture COS / ELE 375 Computer Architecture and Organization Princeton University Fall 2015 Prof. David August 1 2 Quiz 0 CD 3 Miles of Music 3 4 Pits and Lands Interpretation 0 1 1 1 0 1 0 1 As Music: 011101012 = 117/256 position of speaker As Number: Transition represents a bit state (1/on/red/female/heads) 01110101 = 1 + 4 + 16 + 32 + 64 = 117 = 75 No change represents other state (0/off/white/male/tails) 2 10 16 (Get comfortable with base 2, 8, 10, and 16.) As Text: th 011101012 = 117 character in the ASCII codes = “u” 5 6 Interpretation – ASCII Princeton Computer Science Building West Wall 7 8 Interpretation Binary Code and Data (Hello World!) • Programs consist of Code and Data • Code and Data are Encoded in Bits IA-64 Binary (objdump) As Music: 011101012 = 117/256 position of speaker As Number: 011101012 = 1 + 4 + 16 + 32 + 64 = 11710 = 7516 As Text: th 011101012 = 117 character in the ASCII codes = “u” CAN ALSO BE INTERPRETED AS MACHINE INSTRUCTION! 9 Interfaces in Computer Systems Instructions Sequential Circuit!! Software: Produce Bits Instructing Machine to Manipulate State or Produce I/O Computers process information State Applications • Input/Output (I/O) Operating System • State (memory) • Computation (processor) Compiler Firmware Instruction Set Architecture Input Output Instruction Set Processor I/O System Datapath & Control Computation Digital Design Circuit Design • Instructions instruct processor to manipulate state Layout • Instructions instruct processor to produce I/O in the same way Hardware: Read and Obey Instruction Bits 12 State State – Main Memory Typical modern machine has this architectural state: Main Memory (AKA: RAM – Random Access Memory) 1. -
Frequently Asked Questions in Mathematics
Frequently Asked Questions in Mathematics The Sci.Math FAQ Team. Editor: Alex L´opez-Ortiz e-mail: [email protected] Contents 1 Introduction 4 1.1 Why a list of Frequently Asked Questions? . 4 1.2 Frequently Asked Questions in Mathematics? . 4 2 Fundamentals 5 2.1 Algebraic structures . 5 2.1.1 Monoids and Groups . 6 2.1.2 Rings . 7 2.1.3 Fields . 7 2.1.4 Ordering . 8 2.2 What are numbers? . 9 2.2.1 Introduction . 9 2.2.2 Construction of the Number System . 9 2.2.3 Construction of N ............................... 10 2.2.4 Construction of Z ................................ 10 2.2.5 Construction of Q ............................... 11 2.2.6 Construction of R ............................... 11 2.2.7 Construction of C ............................... 12 2.2.8 Rounding things up . 12 2.2.9 What’s next? . 12 3 Number Theory 14 3.1 Fermat’s Last Theorem . 14 3.1.1 History of Fermat’s Last Theorem . 14 3.1.2 What is the current status of FLT? . 14 3.1.3 Related Conjectures . 15 3.1.4 Did Fermat prove this theorem? . 16 3.2 Prime Numbers . 17 3.2.1 Largest known Mersenne prime . 17 3.2.2 Largest known prime . 17 3.2.3 Largest known twin primes . 18 3.2.4 Largest Fermat number with known factorization . 18 3.2.5 Algorithms to factor integer numbers . 18 3.2.6 Primality Testing . 19 3.2.7 List of record numbers . 20 3.2.8 What is the current status on Mersenne primes? . -
Chapter 7 Expressions and Assignment Statements
Chapter 7 Expressions and Assignment Statements Chapter 7 Topics Introduction Arithmetic Expressions Overloaded Operators Type Conversions Relational and Boolean Expressions Short-Circuit Evaluation Assignment Statements Mixed-Mode Assignment Chapter 7 Expressions and Assignment Statements Introduction Expressions are the fundamental means of specifying computations in a programming language. To understand expression evaluation, need to be familiar with the orders of operator and operand evaluation. Essence of imperative languages is dominant role of assignment statements. Arithmetic Expressions Their evaluation was one of the motivations for the development of the first programming languages. Most of the characteristics of arithmetic expressions in programming languages were inherited from conventions that had evolved in math. Arithmetic expressions consist of operators, operands, parentheses, and function calls. The operators can be unary, or binary. C-based languages include a ternary operator, which has three operands (conditional expression). The purpose of an arithmetic expression is to specify an arithmetic computation. An implementation of such a computation must cause two actions: o Fetching the operands from memory o Executing the arithmetic operations on those operands. Design issues for arithmetic expressions: 1. What are the operator precedence rules? 2. What are the operator associativity rules? 3. What is the order of operand evaluation? 4. Are there restrictions on operand evaluation side effects? 5. Does the language allow user-defined operator overloading? 6. What mode mixing is allowed in expressions? Operator Evaluation Order 1. Precedence The operator precedence rules for expression evaluation define the order in which “adjacent” operators of different precedence levels are evaluated (“adjacent” means they are separated by at most one operand). -
Microprocessor Architecture
EECE416 Microcomputer Fundamentals Microprocessor Architecture Dr. Charles Kim Howard University 1 Computer Architecture Computer System CPU (with PC, Register, SR) + Memory 2 Computer Architecture •ALU (Arithmetic Logic Unit) •Binary Full Adder 3 Microprocessor Bus 4 Architecture by CPU+MEM organization Princeton (or von Neumann) Architecture MEM contains both Instruction and Data Harvard Architecture Data MEM and Instruction MEM Higher Performance Better for DSP Higher MEM Bandwidth 5 Princeton Architecture 1.Step (A): The address for the instruction to be next executed is applied (Step (B): The controller "decodes" the instruction 3.Step (C): Following completion of the instruction, the controller provides the address, to the memory unit, at which the data result generated by the operation will be stored. 6 Harvard Architecture 7 Internal Memory (“register”) External memory access is Very slow For quicker retrieval and storage Internal registers 8 Architecture by Instructions and their Executions CISC (Complex Instruction Set Computer) Variety of instructions for complex tasks Instructions of varying length RISC (Reduced Instruction Set Computer) Fewer and simpler instructions High performance microprocessors Pipelined instruction execution (several instructions are executed in parallel) 9 CISC Architecture of prior to mid-1980’s IBM390, Motorola 680x0, Intel80x86 Basic Fetch-Execute sequence to support a large number of complex instructions Complex decoding procedures Complex control unit One instruction achieves a complex task 10 -
What Do We Mean by Architecture?
Embedded programming: Comparing the performance and development workflows for architectures Embedded programming week FABLAB BRIGHTON 2018 What do we mean by architecture? The architecture of microprocessors and microcontrollers are classified based on the way memory is allocated (memory architecture). There are two main ways of doing this: Von Neumann architecture (also known as Princeton) Von Neumann uses a single unified cache (i.e. the same memory) for both the code (instructions) and the data itself, Under pure von Neumann architecture the CPU can be either reading an instruction or reading/writing data from/to the memory. Both cannot occur at the same time since the instructions and data use the same bus system. Harvard architecture Harvard architecture uses different memory allocations for the code (instructions) and the data, allowing it to be able to read instructions and perform data memory access simultaneously. The best performance is achieved when both instructions and data are supplied by their own caches, with no need to access external memory at all. How does this relate to microcontrollers/microprocessors? We found this page to be a good introduction to the topic of microcontrollers and microprocessors, the architectures they use and the difference between some of the common types. First though, it’s worth looking at the difference between a microprocessor and a microcontroller. Microprocessors (e.g. ARM) generally consist of just the Central Processing Unit (CPU), which performs all the instructions in a computer program, including arithmetic, logic, control and input/output operations. Microcontrollers (e.g. AVR, PIC or 8051) contain one or more CPUs with RAM, ROM and programmable input/output peripherals. -
Simple Computer Example Register Structure
Simple Computer Example Register Structure Read pp. 27-85 Simple Computer • To illustrate how a computer operates, let us look at the design of a very simple computer • Specifications 1. Memory words are 16 bits in length 2. 2 12 = 4 K words of memory 3. Memory can be accessed in one clock cycle 4. Single Accumulator for ALU (AC) 5. Registers are fully connected Simple Computer Continued 4K x 16 Memory MAR 12 MDR 16 X PC 12 ALU IR 16 AC Simple Computer Specifications (continued) 6. Control signals • INCPC – causes PC to increment on clock edge - [PC] +1 PC •ACin - causes output of ALU to be stored in AC • GMDR2X – get memory data register to X - [MDR] X • Read (Write) – Read (Write) contents of memory location whose address is in MAR To implement instructions, control unit must break down the instruction into a series of register transfers (just like a complier must break down C program into a series of machine level instructions) Simple Computer (continued) • Typical microinstruction for reading memory State Register Transfer Control Line(s) Next State 1 [[MAR]] MDR Read 2 • Timing State 1 State 2 During State 1, Read set by control unit CLK - Data is read from memory - MDR changes at the Read beginning of State 2 - Read is completed in one clock cycle MDR Simple Computer (continued) • Study: how to write the microinstructions to implement 3 instructions • ADD address • ADD (address) • JMP address ADD address: add using direct addressing 0000 address [AC] + [address] AC ADD (address): add using indirect addressing 0001 address [AC] + [[address]] AC JMP address 0010 address address PC Instruction Format for Simple Computer IR OP 4 AD 12 AD = address - Two phases to implement instructions: 1. -
The Central Processing Unit(CPU). the Brain of Any Computer System Is the CPU
Computer Fundamentals 1'stage Lec. (8 ) College of Computer Technology Dept.Information Networks The central processing unit(CPU). The brain of any computer system is the CPU. It controls the functioning of the other units and process the data. The CPU is sometimes called the processor, or in the personal computer field called “microprocessor”. It is a single integrated circuit that contains all the electronics needed to execute a program. The processor calculates (add, multiplies and so on), performs logical operations (compares numbers and make decisions), and controls the transfer of data among devices. The processor acts as the controller of all actions or services provided by the system. Processor actions are synchronized to its clock input. A clock signal consists of clock cycles. The time to complete a clock cycle is called the clock period. Normally, we use the clock frequency, which is the inverse of the clock period, to specify the clock. The clock frequency is measured in Hertz, which represents one cycle/second. Hertz is abbreviated as Hz. Usually, we use mega Hertz (MHz) and giga Hertz (GHz) as in 1.8 GHz Pentium. The processor can be thought of as executing the following cycle forever: 1. Fetch an instruction from the memory, 2. Decode the instruction (i.e., determine the instruction type), 3. Execute the instruction (i.e., perform the action specified by the instruction). Execution of an instruction involves fetching any required operands, performing the specified operation, and writing the results back. This process is often referred to as the fetch- execute cycle, or simply the execution cycle. -
Intel Quartus Prime Pro Edition User Guide: Programmer Send Feedback
Intel® Quartus® Prime Pro Edition User Guide Programmer Updated for Intel® Quartus® Prime Design Suite: 21.2 Subscribe UG-20134 | 2021.07.21 Send Feedback Latest document on the web: PDF | HTML Contents Contents 1. Intel® Quartus® Prime Programmer User Guide..............................................................4 1.1. Generating Primary Device Programming Files........................................................... 5 1.2. Generating Secondary Programming Files................................................................. 6 1.2.1. Generating Secondary Programming Files (Programming File Generator)........... 7 1.2.2. Generating Secondary Programming Files (Convert Programming File Dialog Box)............................................................................................. 11 1.3. Enabling Bitstream Security for Intel Stratix 10 Devices............................................ 18 1.3.1. Enabling Bitstream Authentication (Programming File Generator)................... 19 1.3.2. Specifying Additional Physical Security Settings (Programming File Generator).............................................................................................. 21 1.3.3. Enabling Bitstream Encryption (Programming File Generator).........................22 1.4. Enabling Bitstream Encryption or Compression for Intel Arria 10 and Intel Cyclone 10 GX Devices.................................................................................................. 23 1.5. Generating Programming Files for Partial Reconfiguration......................................... -
The Microarchitecture of a Low Power Register File
The Microarchitecture of a Low Power Register File Nam Sung Kim and Trevor Mudge Advanced Computer Architecture Lab The University of Michigan 1301 Beal Ave., Ann Arbor, MI 48109-2122 {kimns, tnm}@eecs.umich.edu ABSTRACT Alpha 21464, the 512-entry 16-read and 8-write (16-r/8-w) ports register file consumed more power and was larger than The access time, energy and area of the register file are often the 64 KB primary caches. To reduce the cycle time impact, it critical to overall performance in wide-issue microprocessors, was implemented as two 8-r/8-w split register files [9], see because these terms grow superlinearly with the number of read Figure 1. Figure 1-(a) shows the 16-r/8-w file implemented and write ports that are required to support wide-issue. This paper directly as a monolithic structure. Figure 1-(b) shows it presents two techniques to reduce the number of ports of a register implemented as the two 8-r/8-w register files. The monolithic file intended for a wide-issue microprocessor without hardly any register file design is slow because each memory cell in the impact on IPC. Our results show that it is possible to replace a register file has to drive a large number of bit-lines. In register file with 16 read and 8 write ports, intended for an eight- contrast, the split register file is fast, but duplicates the issue processor, with a register file with just 8 read and 8 write contents of the register file in two memory arrays, resulting in ports so that the impact on IPC is a few percent. -
The Von Neumann Computer Model 5/30/17, 10:03 PM
The von Neumann Computer Model 5/30/17, 10:03 PM CIS-77 Home http://www.c-jump.com/CIS77/CIS77syllabus.htm The von Neumann Computer Model 1. The von Neumann Computer Model 2. Components of the Von Neumann Model 3. Communication Between Memory and Processing Unit 4. CPU data-path 5. Memory Operations 6. Understanding the MAR and the MDR 7. Understanding the MAR and the MDR, Cont. 8. ALU, the Processing Unit 9. ALU and the Word Length 10. Control Unit 11. Control Unit, Cont. 12. Input/Output 13. Input/Output Ports 14. Input/Output Address Space 15. Console Input/Output in Protected Memory Mode 16. Instruction Processing 17. Instruction Components 18. Why Learn Intel x86 ISA ? 19. Design of the x86 CPU Instruction Set 20. CPU Instruction Set 21. History of IBM PC 22. Early x86 Processor Family 23. 8086 and 8088 CPU 24. 80186 CPU 25. 80286 CPU 26. 80386 CPU 27. 80386 CPU, Cont. 28. 80486 CPU 29. Pentium (Intel 80586) 30. Pentium Pro 31. Pentium II 32. Itanium processor 1. The von Neumann Computer Model Von Neumann computer systems contain three main building blocks: The following block diagram shows major relationship between CPU components: the central processing unit (CPU), memory, and input/output devices (I/O). These three components are connected together using the system bus. The most prominent items within the CPU are the registers: they can be manipulated directly by a computer program. http://www.c-jump.com/CIS77/CPU/VonNeumann/lecture.html Page 1 of 15 IPR2017-01532 FanDuel, et al.