Advanced Processor Designs
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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. -
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 -
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 -
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. -
Superscalar Instruction Dispatch with Exception Handling
Superscalar Instruction Dispatch With Exception Handling Design and Testing Report Joseph McMahan December 2013 Contents 1 Design 3 1.1 Overview . ............. ............. 3 1.1.1 The Tomasulo Algorithm . ............. 4 1.1.2 Two-Phase Cloc"ing .......... ............. 4 1.1.3 #esolving Data Hazards . ............. ' 1.1.4 (oftware Interface............ ............. + 1.2 High ,evel Design ............. ............. 10 1.3 ,ow ,evel Design ............. ............. 12 1.3.1 Buses . ............. ............. 12 1.3.2 .unctional /nits ............. ............ 13 1.3.3 Completion File ............. ............. 14 1.3.4 Bus !0cles . ............. ............. 17 1.3.' *nstruction Deco&e an& Dispatch . ............. 18 2 Testing 23 2.1 Tests . ............. ............. 23 2.1.1 ,oa& Data2 Ad& ............. ............. 23 2.1.2 #esource Hazard3 Onl0 One (tation Available ......... 24 2.1.3 Multipl0 . ............. ............. 26 2.1.4 #esource Hazard3 Two Instructions o) (ame Type . 26 2.1.' Data Hazar&3 #A5........... ............. 29 2.1.4 Data Hazar&3 5A5 .......... ............. 31 2.1.+ Data Hazar&3 5AR . ............. 31 2.1.1 Memor0 Hazar&3 5AR . ............. 35 2.1.6 #esource Hazard3 No (tations Available ............ 3' 2.1.10 (tall on .ull Completion File . ............ 31 2.1.11 Han&le 89ception............ ............. 40 1 3 Code 43 3.1 Mo&ules . ............. ............. 43 3.1.1 rstation.v . ............. ............. 43 3.1.2 reg.v . ............. ............. 49 3.1.3 fetch.v . ............. ............. 53 3.1.4 store.v . ............. ............. '6 3.1.' mem-unit.v . ............. ............. 63 3.1.4 ID.v . ............. ............. 70 3.1.+ alu.v . ............. ............. 84 3.1.1 alu-unit.v . ............. ............. 14 3.1.6 mult.v . ............. ............. 90 3.1.10 mp-unit.v . ............. ............. 92 3.1.11 cf.v . -
MIPS Architecture with Tomasulo Algorithm [12]
CALIFORNIA STATE UNIVERSITY NORTHRIDGE TOMASULO ARCHITECTURE BASED MIPS PROCESSOR A graduate project submitted in partial fulfilment for the requirement Of the degree of Master of Science In Electrical Engineering By Sameer S Pandit May 2014 The graduate project of Sameer Pandit is approved by: ______________________________________ ____________ Dr. Ali Amini, Ph.D. Date _______________________________________ ____________ Dr. Shahnam Mirzaei, Ph.D. Date _______________________________________ ____________ Dr. Ramin Roosta, Ph.D., Chair Date California State University Northridge ii ACKNOWLEDGEMENT I would like to express my gratitude towards all the members of the project committee and would like to thank them for their continuous support and mentoring me for every step that I have taken towards the completion of this project. Dr. Roosta, for his guidance, Dr. Shahnam for his ideas, and Dr. Ali Amini for his utmost support. I would also like to thank my family and friends for their love, care and support through all the tough times during my graduation. iii Table of Contents SIGNATURE PAGE .......................................................................................................... ii ACKNOWLEDGEMENT ................................................................................................. iii LIST OF FIGURES .......................................................................................................... vii ABSTRACT ....................................................................................................................... -
In-Line Interrupt Handling and Lock-Up Free Translation Lookaside Buffers (Tlbs)
IEEE TRANSACTIONS ON COMPUTERS, VOL. 55, NO. 5, MAY 2006 1 In-Line Interrupt Handling and Lock-Up Free Translation Lookaside Buffers (TLBs) Aamer Jaleel, Student Member, IEEE, and Bruce Jacob, Member, IEEE Abstract—The effects of the general-purpose precise interrupt mechanisms in use for the past few decades have received very little attention. When modern out-of-order processors handle interrupts precisely, they typically begin by flushing the pipeline to make the CPU available to execute handler instructions. In doing so, the CPU ends up flushing many instructions that have been brought in to the reorder buffer. In particular, these instructions may have reached a very deep stage in the pipeline—representing significant work that is wasted. In addition, an overhead of several cycles and wastage of energy (per exception detected) can be expected in refetching and reexecuting the instructions flushed. This paper concentrates on improving the performance of precisely handling software managed translation look-aside buffer (TLB) interrupts, one of the most frequently occurring interrupts. The paper presents a novel method of in-lining the interrupt handler within the reorder buffer. Since the first level interrupt-handlers of TLBs are usually small, they could potentially fit in the reorder buffer along with the user-level code already there. In doing so, the instructions that would otherwise be flushed from the pipe need not be refetched and reexecuted. Additionally, it allows for instructions independent of the exceptional instruction to continue to execute in parallel with the handler code. By in-lining the TLB interrupt handler, this provides lock-up free TLBs. -
Improving the Precise Interrupt Mechanism of Software- Managed TLB Miss Handlers
Improving the Precise Interrupt Mechanism of Software- Managed TLB Miss Handlers Aamer Jaleel and Bruce Jacob Electrical & Computer Engineering University of Maryland at College Park {ajaleel,blj}@eng.umd.edu Abstract. The effects of the general-purpose precise interrupt mechanisms in use for the past few decades have received very little attention. When modern out-of-order processors handle interrupts precisely, they typically begin by flushing the pipeline to make the CPU available to execute handler instructions. In doing so, the CPU ends up flushing many instructions that have been brought in to the reorder buffer. In par- ticular, many of these instructions have reached a very deep stage in the pipeline - representing significant work that is wasted. In addition, an overhead of several cycles can be expected in re-fetching and re-executing these instructions. This paper concentrates on improving the performance of precisely handling software managed translation lookaside buffer (TLB) interrupts, one of the most frequently occurring interrupts. This paper presents a novel method of in-lining the interrupt handler within the reorder buffer. Since the first level interrupt-handlers of TLBs are usually small, they could potentially fit in the reorder buffer along with the user-level code already there. In doing so, the instructions that would otherwise be flushed from the pipe need not be re-fetched and re-executed. Additionally, it allows for instructions independent of the exceptional instruction to continue to execute in parallel with the handler code. We simulate two different schemes of in-lining the interrupt on a pro- cessor with a 4-way out-of-order core similar to the Alpha 21264. -
Identifying Bottlenecks in a Multithreaded Superscalar
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 In contrast the multithreaded pro cessor stores multiple contexts in dierent register sets on the