Register Data Flow ECE/CS 752 Fall 2017
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
AMD Athlon™ Processor X86 Code Optimization Guide
AMD AthlonTM Processor x86 Code Optimization Guide © 2000 Advanced Micro Devices, Inc. All rights reserved. The contents of this document are provided in connection with Advanced Micro Devices, Inc. (“AMD”) products. AMD makes no representations or warranties with respect to the accuracy or completeness of the contents of this publication and reserves the right to make changes to specifications and product descriptions at any time without notice. No license, whether express, implied, arising by estoppel or otherwise, to any intellectual property rights is granted by this publication. Except as set forth in AMD’s Standard Terms and Conditions of Sale, AMD assumes no liability whatsoever, and disclaims any express or implied warranty, relating to its products including, but not limited to, the implied warranty of merchantability, fitness for a particular purpose, or infringement of any intellectual property right. AMD’s products are not designed, intended, authorized or warranted for use as components in systems intended for surgical implant into the body, or in other applications intended to support or sustain life, or in any other applica- tion in which the failure of AMD’s product could create a situation where per- sonal injury, death, or severe property or environmental damage may occur. AMD reserves the right to discontinue or make changes to its products at any time without notice. Trademarks AMD, the AMD logo, AMD Athlon, K6, 3DNow!, and combinations thereof, AMD-751, K86, and Super7 are trademarks, and AMD-K6 is a registered trademark of Advanced Micro Devices, Inc. Microsoft, Windows, and Windows NT are registered trademarks of Microsoft Corporation. -
IEEE Paper Template in A4
Vasantha.N.S. et al, International Journal of Computer Science and Mobile Computing, Vol.6 Issue.6, June- 2017, pg. 302-306 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IMPACT FACTOR: 6.017 IJCSMC, Vol. 6, Issue. 6, June 2017, pg.302 – 306 Enhancing Performance in Multiple Execution Unit Architecture using Tomasulo Algorithm Vasantha.N.S.1, Meghana Kulkarni2 ¹Department of VLSI and Embedded Systems, Centre for PG Studies, VTU Belagavi, India ²Associate Professor Department of VLSI and Embedded Systems, Centre for PG Studies, VTU Belagavi, India 1 [email protected] ; 2 [email protected] Abstract— Tomasulo’s algorithm is a computer architecture hardware algorithm for dynamic scheduling of instructions that allows out-of-order execution, designed to efficiently utilize multiple execution units. It was developed by Robert Tomasulo at IBM. The major innovations of Tomasulo’s algorithm include register renaming in hardware. It also uses the concept of reservation stations for all execution units. A common data bus (CDB) on which computed values broadcast to all reservation stations that may need them is also present. The algorithm allows for improved parallel execution of instructions that would otherwise stall under the use of other earlier algorithms such as scoreboarding. Keywords— Reservation Station, Register renaming, common data bus, multiple execution unit, register file I. INTRODUCTION The instructions in any program may be executed in any of the 2 ways namely sequential order and the other is the data flow order. The sequential order is the one in which the instructions are executed one after the other but in reality this flow is very rare in programs. -
Inside Intel® Core™ Microarchitecture Setting New Standards for Energy-Efficient Performance
White Paper Inside Intel® Core™ Microarchitecture Setting New Standards for Energy-Efficient Performance Ofri Wechsler Intel Fellow, Mobility Group Director, Mobility Microprocessor Architecture Intel Corporation White Paper Inside Intel®Core™ Microarchitecture Introduction Introduction 2 The Intel® Core™ microarchitecture is a new foundation for Intel®Core™ Microarchitecture Design Goals 3 Intel® architecture-based desktop, mobile, and mainstream server multi-core processors. This state-of-the-art multi-core optimized Delivering Energy-Efficient Performance 4 and power-efficient microarchitecture is designed to deliver Intel®Core™ Microarchitecture Innovations 5 increased performance and performance-per-watt—thus increasing Intel® Wide Dynamic Execution 6 overall energy efficiency. This new microarchitecture extends the energy efficient philosophy first delivered in Intel's mobile Intel® Intelligent Power Capability 8 microarchitecture found in the Intel® Pentium® M processor, and Intel® Advanced Smart Cache 8 greatly enhances it with many new and leading edge microar- Intel® Smart Memory Access 9 chitectural innovations as well as existing Intel NetBurst® microarchitecture features. What’s more, it incorporates many Intel® Advanced Digital Media Boost 10 new and significant innovations designed to optimize the Intel®Core™ Microarchitecture and Software 11 power, performance, and scalability of multi-core processors. Summary 12 The Intel Core microarchitecture shows Intel’s continued Learn More 12 innovation by delivering both greater energy efficiency Author Biographies 12 and compute capability required for the new workloads and usage models now making their way across computing. With its higher performance and low power, the new Intel Core microarchitecture will be the basis for many new solutions and form factors. In the home, these include higher performing, ultra-quiet, sleek and low-power computer designs, and new advances in more sophisticated, user-friendly entertainment systems. -
Computer Science 246 Computer Architecture Spring 2010 Harvard University
Computer Science 246 Computer Architecture Spring 2010 Harvard University Instructor: Prof. David Brooks [email protected] Dynamic Branch Prediction, Speculation, and Multiple Issue Computer Science 246 David Brooks Lecture Outline • Tomasulo’s Algorithm Review (3.1-3.3) • Pointer-Based Renaming (MIPS R10000) • Dynamic Branch Prediction (3.4) • Other Front-end Optimizations (3.5) – Branch Target Buffers/Return Address Stack Computer Science 246 David Brooks Tomasulo Review • Reservation Stations – Distribute RAW hazard detection – Renaming eliminates WAW hazards – Buffering values in Reservation Stations removes WARs – Tag match in CDB requires many associative compares • Common Data Bus – Achilles heal of Tomasulo – Multiple writebacks (multiple CDBs) expensive • Load/Store reordering – Load address compared with store address in store buffer Computer Science 246 David Brooks Tomasulo Organization From Mem FP Op FP Registers Queue Load Buffers Load1 Load2 Load3 Load4 Load5 Store Load6 Buffers Add1 Add2 Mult1 Add3 Mult2 Reservation To Mem Stations FP adders FP multipliers Common Data Bus (CDB) Tomasulo Review 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 LD F0, 0(R1) Iss M1 M2 M3 M4 M5 M6 M7 M8 Wb MUL F4, F0, F2 Iss Iss Iss Iss Iss Iss Iss Iss Iss Ex Ex Ex Ex Wb SD 0(R1), F0 Iss Iss Iss Iss Iss Iss Iss Iss Iss Iss Iss Iss Iss M1 M2 M3 Wb SUBI R1, R1, 8 Iss Ex Wb BNEZ R1, Loop Iss Ex Wb LD F0, 0(R1) Iss Iss Iss Iss M Wb MUL F4, F0, F2 Iss Iss Iss Iss Iss Ex Ex Ex Ex Wb SD 0(R1), F0 Iss Iss Iss Iss Iss Iss Iss Iss Iss M1 M2 -
Dynamic Scheduling
Dynamically-Scheduled Machines ! • In a Statically-Scheduled machine, the compiler schedules all instructions to avoid data-hazards: the ID unit may require that instructions can issue together without hazards, otherwise the ID unit inserts stalls until the hazards clear! • This section will deal with Dynamically-Scheduled machines, where hardware- based techniques are used to detect are remove avoidable data-hazards automatically, to allow ‘out-of-order’ execution, and improve performance! • Dynamic scheduling used in the Pentium III and 4, the AMD Athlon, the MIPS R10000, the SUN Ultra-SPARC III; the IBM Power chips, the IBM/Motorola PowerPC, the HP Alpha 21264, the Intel Dual-Core and Quad-Core processors! • In contrast, static multiple-issue with compiler-based scheduling is used in the Intel IA-64 Itanium architectures! • In 2007, the dual-core and quad-core Intel processors use the Pentium 5 family of dynamically-scheduled processors. The Itanium has had a hard time gaining market share.! Ch. 6, Advanced Pipelining-DYNAMIC, slide 1! © Ted Szymanski! Dynamic Scheduling - the Idea ! (class text - pg 168, 171, 5th ed.)" !DIVD ! !F0, F2, F4! ADDD ! !F10, F0, F8 !- data hazard, stall issue for 23 cc! SUBD ! !F12, F8, F14 !- SUBD inherits 23 cc of stalls! • ADDD depends on DIVD; in a static scheduled machine, the ID unit detects the hazard and causes the basic pipeline to stall for 23 cc! • The SUBD instruction cannot execute because the pipeline has stalled, even though SUBD does not logically depend upon either previous instruction! • suppose the machine architecture was re-organized to let the SUBD and subsequent instructions “bypass” the previous stalled instruction (the ADDD) and proceed with its execution -> we would allow “out-of-order” execution! • however, out-of-order execution would allow out-of-order completion, which may allow RW (Read-Write) and WW (Write-Write) data hazards ! • a RW and WW hazard occurs when the reads/writes complete in the wrong order, destroying the data. -
United States Patent (19) 11 Patent Number: 5,680,565 Glew Et Al
USOO568.0565A United States Patent (19) 11 Patent Number: 5,680,565 Glew et al. 45 Date of Patent: Oct. 21, 1997 (54) METHOD AND APPARATUS FOR Diefendorff, "Organization of the Motorola 88110 Super PERFORMING PAGE TABLE WALKS INA scalar RISC Microprocessor.” IEEE Micro, Apr. 1996, pp. MCROPROCESSOR CAPABLE OF 40-63. PROCESSING SPECULATIVE Yeager, Kenneth C. "The MIPS R10000 Superscalar Micro INSTRUCTIONS processor.” IEEE Micro, Apr. 1996, pp. 28-40 Apr. 1996. 75 Inventors: Andy Glew, Hillsboro; Glenn Hinton; Smotherman et al. "Instruction Scheduling for the Motorola Haitham Akkary, both of Portland, all 88.110" Microarchitecture 1993 International Symposium, of Oreg. pp. 257-262. Circello et al., “The Motorola 68060 Microprocessor.” 73) Assignee: Intel Corporation, Santa Clara, Calif. COMPCON IEEE Comp. Soc. Int'l Conf., Spring 1993, pp. 73-78. 21 Appl. No.: 176,363 "Superscalar Microprocessor Design" by Mike Johnson, Advanced Micro Devices, Prentice Hall, 1991. 22 Filed: Dec. 30, 1993 Popescu, et al., "The Metaflow Architecture.” IEEE Micro, (51) Int. C. G06F 12/12 pp. 10-13 and 63–73, Jun. 1991. 52 U.S. Cl. ........................... 395/415: 395/800; 395/383 Primary Examiner-David K. Moore 58) Field of Search .................................. 395/400, 375, Assistant Examiner-Kevin Verbrugge 395/800, 414, 415, 421.03 Attorney, Agent, or Firm-Blakely, Sokoloff, Taylor & 56 References Cited Zafiman U.S. PATENT DOCUMENTS 57 ABSTRACT 5,136,697 8/1992 Johnson .................................. 395/586 A page table walk is performed in response to a data 5,226,126 7/1993 McFarland et al. 395/.394 translation lookaside buffer miss based on a speculative 5,230,068 7/1993 Van Dyke et al. -
Identifying Bottlenecks in a Multithreaded Superscalar
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by KITopen Identifying Bottlenecks in a Multithreaded Sup erscalar Micropro cessor Ulrich Sigmund and Theo Ungerer VIONA DevelopmentGmbH Karlstr D Karlsruhe Germany University of Karlsruhe Dept of Computer Design and Fault Tolerance D Karlsruhe Germany Abstract This pap er presents a multithreaded sup erscalar pro cessor that p ermits several threads to issue instructions to the execution units of a wide sup erscalar pro cessor in a single cycle Instructions can simul taneously b e issued from up to threads with a total issue bandwidth of instructions p er cycle Our results show that the threaded issue pro cessor reaches a throughput of instructions p er cycle Intro duction Current micropro cessors utilize instructionlevel parallelism by a deep pro cessor pip eline and by the sup erscalar technique that issues up to four instructions p er cycle from a single thread VLSItechnology will allow future generations of micropro cessors to exploit instructionlevel parallelism up to instructions p er cycle or more However the instructionlevel parallelism found in a conventional instruction stream is limited The solution is the additional utilization of more coarsegrained parallelism The main approaches are the multipro cessor chip and the multithreaded pro ces pro cessors on a sor The multipro cessor chip integrates two or more complete single chip Therefore every unit of a pro cessor is duplicated and used indep en dently of its copies on the chip -
Advanced Processor Designs
Advanced processor designs We’ve only scratched the surface of CPU design. Today we’ll briefly introduce some of the big ideas and big words behind modern processors by looking at two example CPUs. —The Motorola PowerPC, used in Apple computers and many embedded systems, is a good example of state-of-the-art RISC technologies. —The Intel Itanium is a more radical design intended for the higher-end systems market. April 9, 2003 ©2001-2003 Howard Huang 1 General ways to make CPUs faster You can improve the chip manufacturing technology. — Smaller CPUs can run at a higher clock rates, since electrons have to travel a shorter distance. Newer chips use a “0.13µm process,” and this will soon shrink down to 0.09µm. — Using different materials, such as copper instead of aluminum, can improve conductivity and also make things faster. You can also improve your CPU design, like we’ve been doing in CS232. — One of the most important ideas is parallel computation—executing several parts of a program at the same time. — Being able to execute more instructions at a time results in a higher instruction throughput, and a faster execution time. April 9, 2003 Advanced processor designs 2 Pipelining is parallelism We’ve already seen parallelism in detail! A pipelined processor executes many instructions at the same time. All modern processors use pipelining, because most programs will execute faster on a pipelined CPU without any programmer intervention. Today we’ll discuss some more advanced techniques to help you get the most out of your pipeline. April 9, 2003 Advanced processor designs 3 Motivation for some advanced ideas Our pipelined datapath only supports integer operations, and we assumed the ALU had about a 2ns delay. -
Computer Architecture Out-Of-Order Execution
Computer Architecture Out-of-order Execution By Yoav Etsion With acknowledgement to Dan Tsafrir, Avi Mendelson, Lihu Rappoport, and Adi Yoaz 1 Computer Architecture 2013– Out-of-Order Execution The need for speed: Superscalar • Remember our goal: minimize CPU Time CPU Time = duration of clock cycle × CPI × IC • So far we have learned that in order to Minimize clock cycle ⇒ add more pipe stages Minimize CPI ⇒ utilize pipeline Minimize IC ⇒ change/improve the architecture • Why not make the pipeline deeper and deeper? Beyond some point, adding more pipe stages doesn’t help, because Control/data hazards increase, and become costlier • (Recall that in a pipelined CPU, CPI=1 only w/o hazards) • So what can we do next? Reduce the CPI by utilizing ILP (instruction level parallelism) We will need to duplicate HW for this purpose… 2 Computer Architecture 2013– Out-of-Order Execution A simple superscalar CPU • Duplicates the pipeline to accommodate ILP (IPC > 1) ILP=instruction-level parallelism • Note that duplicating HW in just one pipe stage doesn’t help e.g., when having 2 ALUs, the bottleneck moves to other stages IF ID EXE MEM WB • Conclusion: Getting IPC > 1 requires to fetch/decode/exe/retire >1 instruction per clock: IF ID EXE MEM WB 3 Computer Architecture 2013– Out-of-Order Execution Example: Pentium Processor • Pentium fetches & decodes 2 instructions per cycle • Before register file read, decide on pairing Can the two instructions be executed in parallel? (yes/no) u-pipe IF ID v-pipe • Pairing decision is based… On data -
Intel® Core™ Microarchitecture • Wrap Up
EW N IntelIntel®® CoreCore™™ MicroarchitectureMicroarchitecture MarchMarch 8,8, 20062006 Stephen L. Smith Bob Valentine Vice President Architect Digital Enterprise Group Intel Architecture Group Agenda • Multi-core Update and New Microarchitecture Level Set • New Intel® Core™ Microarchitecture • Wrap Up 2 Intel Multi-core Roadmap – Updates since Fall IDF 3 Ramping Multi-core Everywhere 4 All products and dates are preliminary and subject to change without notice. Refresher: What is Multi-Core? Two or more independent execution cores in the same processor Specific implementations will vary over time - driven by product implementation and manufacturing efficiencies • Best mix of product architecture and volume mfg capabilities – Architecture: Shared Caches vs. Independent Caches – Mfg capabilities: volume packaging technology • Designed to deliver performance, OEM and end user experience Single die (Monolithic) based processor Multi-Chip Processor Example: 90nm Pentium® D Example: Intel Core™ Duo Example: 65nm Pentium D Processor (Smithfield) Processor (Yonah) Processor (Presler) Core0 Core1 Core0 Core1 Core0 Core1 Front Side Bus Front Side Bus Front Side Bus *Not representative of actual die photos or relative size 5 Intel® Core™ Micro-architecture *Not representative of actual die photo or relative size 6 Intel Multi-core Roadmap 7 Intel Multi-core Roadmap 8 Intel® Core™ Microarchitecture Based Platforms Platform 2006 20072007 Caneland Platform (2007) MP Servers Tigerton (QC) (2007) Bensley Platform (Q2’06)/ Glidewell Platform (Q2’06) ) DP Servers/ Woodcrest (Q3’06) DP Workstation Clovertown (QC) (Q1’07) Kaylo Platform (Q3’06)/ Wyloway Platform (Q3 ’06) UP Servers/ Conroe (Q3’06) UP Workstation Kentsfield (QC) (Q1’07) Bridge Creek Platform (Mid’06) Desktop -Home Conroe (Q3’06) Kentsfield (QC) (Q1’07) Desktop -Office Averill Platform (Mid’06) Conroe (Q3’06) Mobile Client Napa Platform (Q1’06) Merom (2H’06) All products and dates are preliminary 9 Note: only Intel® Core™ microarchitecture QC refers to Quad-Core and subject to change without notice. -
CSE 586 Computer Architecture Lecture 4
Highlights from last week CSE 586 Computer Architecture • ILP: where can the compiler optimize – Loop unrolling and software pipelining – Speculative execution (we’ll see predication today) Lecture 4 • ILP: Dynamic scheduling in a single issue machine – Scoreboard Jean-Loup Baer – Tomasulo’s algorithm http://www.cs.washington.edu/education/courses/586/00sp CSE 586 Spring 00 1 CSE 586 Spring 00 2 Highlights from last week (c’ed) -- Highlights from last week (c’ed) – Scoreboard Tomasulo’s algorithm • The scoreboard keeps a record of all data dependencies • Decentralized control • The scoreboard keeps a record of all functional unit • Use of reservation stations to buffer and/or rename occupancies registers (hence gets rid of WAW and WAR hazards) • The scoreboard decides if an instruction can be issued • Results –and their names– are broadcast to reservations • The scoreboard decides if an instruction can store its result stations and register file • Implementation-wise, scoreboard keeps track of which • Instructions are issued in order but can be dispatched, registers are used as sources and destinations and which executed and completed out-of-order functional units use them CSE 586 Spring 00 3 CSE 586 Spring 00 4 Highlights from last week (c’ed) Multiple Issue Alternatives • Register renaming: avoids WAW and WAR hazards • Superscalar (hardware detects conflicts) • Is performed at “decode” time to rename the result register – Statically scheduled (in order dispatch and hence execution; cf DEC Alpha 21164) • Two basic implementation schemes – Dynamically scheduled (in order issue, out of order dispatch and – Have a separate physical register file execution; cf MIPS 10000, IBM Power PC 620 and Intel Pentium – Use of reorder buffer and reservation stations (cf. -
Nt* and Rtl* INT 2Eh CALL Ntdll!Kifastsystemcall
ȘFĢ: Fųřțįm’ș Đěřįvǻțįvě Bỳ Jǿșěpħ Ŀǻňđřỳ ǻňđ Ųđį Șħǻmįř Țħě Ŀǻbș țěǻm ǻț ȘěňțįňěŀǾňě řěčěňțŀỳ đįșčǿvěřěđ ǻ șǿpħįșțįčǻțěđ mǻŀẅǻřě čǻmpǻįģň șpěčįfįčǻŀŀỳ țǻřģěțįňģ ǻț ŀěǻșț ǿňě Ěųřǿpěǻň ěňěřģỳ čǿmpǻňỳ. Ųpǿň đįșčǿvěřỳ, țħě țěǻm řěvěřșě ěňģįňěěřěđ țħě čǿđě ǻňđ běŀįěvěș țħǻț bǻșěđ ǿň țħě ňǻțųřě, běħǻvįǿř ǻňđ șǿpħįșțįčǻțįǿň ǿf țħě mǻŀẅǻřě ǻňđ țħě ěxțřěmě měǻșųřěș įț țǻķěș țǿ ěvǻđě đěțěčțįǿň, įț ŀįķěŀỳ pǿįňțș țǿ ǻ ňǻțįǿň-șțǻțě șpǿňșǿřěđ įňįțįǻțįvě, pǿțěňțįǻŀŀỳ ǿřįģįňǻțįňģ įň Ěǻșțěřň Ěųřǿpě. Țħě mǻŀẅǻřě įș mǿșț ŀįķěŀỳ ǻ đřǿppěř țǿǿŀ běįňģ ųșěđ țǿ ģǻįň ǻččěșș țǿ čǻřěfųŀŀỳ țǻřģěțěđ ňěțẅǿřķ ųșěřș, ẅħįčħ įș țħěň ųșěđ ěįțħěř țǿ įňțřǿđųčě țħě pǻỳŀǿǻđ, ẅħįčħ čǿųŀđ ěįțħěř ẅǿřķ țǿ ěxțřǻčț đǻțǻ ǿř įňșěřț țħě mǻŀẅǻřě țǿ pǿțěňțįǻŀŀỳ șħųț đǿẅň ǻň ěňěřģỳ ģřįđ. Țħě ěxpŀǿįț ǻffěčțș ǻŀŀ věřșįǿňș ǿf Mįčřǿșǿfț Ẅįňđǿẅș ǻňđ ħǻș běěň đěvěŀǿpěđ țǿ bỳpǻșș țřǻđįțįǿňǻŀ ǻňțįvįřųș șǿŀųțįǿňș, ňěxț-ģěňěřǻțįǿň fįřěẅǻŀŀș, ǻňđ ěvěň mǿřě řěčěňț ěňđpǿįňț șǿŀųțįǿňș țħǻț ųșě șǻňđbǿxįňģ țěčħňįqųěș țǿ đěțěčț ǻđvǻňčěđ mǻŀẅǻřě. (bįǿměțřįč řěǻđěřș ǻřě ňǿň-řěŀěvǻňț țǿ țħě bỳpǻșș / đěțěčțįǿň țěčħňįqųěș, țħě mǻŀẅǻřě ẅįŀŀ șțǿp ěxěčųțįňģ įf įț đěțěčțș țħě přěșěňčě ǿf șpěčįfįč bįǿměțřįč věňđǿř șǿfțẅǻřě). Ẅě běŀįěvě țħě mǻŀẅǻřě ẅǻș řěŀěǻșěđ įň Mǻỳ ǿf țħįș ỳěǻř ǻňđ įș șțįŀŀ ǻčțįvě. İț ěxħįbįțș țřǻįțș șěěň įň přěvįǿųș ňǻțįǿň-șțǻțě Řǿǿțķįțș, ǻňđ ǻppěǻřș țǿ ħǻvě běěň đěșįģňěđ bỳ mųŀțįpŀě đěvěŀǿpěřș ẅįțħ ħįģħ-ŀěvěŀ șķįŀŀș ǻňđ ǻččěșș țǿ čǿňșįđěřǻbŀě řěșǿųřčěș. Ẅě vǻŀįđǻțěđ țħįș mǻŀẅǻřě čǻmpǻįģň ǻģǻįňșț ȘěňțįňěŀǾňě ǻňđ čǿňfįřměđ țħě șțěpș ǿųțŀįňěđ běŀǿẅ ẅěřě đěțěčțěđ bỳ ǿųř Đỳňǻmįč Běħǻvįǿř Țřǻčķįňģ (ĐBȚ) ěňģįňě. Mǻŀẅǻřě Șỳňǿpșįș Țħįș șǻmpŀě ẅǻș ẅřįțțěň įň ǻ mǻňňěř țǿ ěvǻđě șțǻțįč ǻňđ běħǻvįǿřǻŀ đěțěčțįǿň. Mǻňỳ ǻňțį-șǻňđbǿxįňģ țěčħňįqųěș ǻřě ųțįŀįżěđ.