Branch Prediction, and Dynamic Scheduling in Superscalar

Total Page:16

File Type:pdf, Size:1020Kb

Branch Prediction, and Dynamic Scheduling in Superscalar Flow Path Model of Superscalars CS 211: Branch Prediction for Superscalar I-cache Processors Branch Instruction FETCH Flow Predictor Instruction Buffer DECODE Integer Floating-point Media Memory Memory Data EXECUTE Flow Reorder Buffer Register (ROB) Data COMMIT Flow Store D-cache Queue Instruction Fetch Buffer Fetch Out-of-order Unit Core Instruction Flow Bandwidth Fetch buffer smoothes out the rate mismatch between fetch and execution - neither the fetch bandwidth nor the execution bandwidth is consistent Fetch bandwidth should be higher than execution bandwidth - we prefer to have a stockpile of instructions in the buffer to hide cache miss latencies. This requires both raw cache bandwidth + control flow speculation Instruction Cache Basic Spatial Locality and Fetch Bandwidth 00 01 10 11 00 01 10 11 000 000 001 001 PC=..xxRRRCC00 111 PC=..xxRRRCC00 111 Row Decoder Row Decoder Mutiplexer Inst0 Inst1 Inst2 Inst3 Instruction example: 4 instructions per cache line Instruction Decoding Issues Intel Pentium Pro Fetch/Decode Unit Primary tasks: x86 Macro-Instruction Bytes from IFU - Identify individual instructions Instruction Buffer 16 bytes To Next - Determine instruction types Address Calc. - Detect inter-instruction dependences uROM Decoder Decoder Decoder 0 1 2 Two important factors: Branch - Instruction set architecture Address Calc. - Width of parallel pipeline 4 uops 1 uop 1 uop uop Queue (6) Up to 3 uops Issued to dispatch Instruction Flow– Control Flow Throughput of early stages places bound an upper bound on per. Of subsequent stages Program control flow represented by Control Flow Control Dependence Graph (CFG) - Nodes represent basic block of code • Sequence of instructions with no incoming or outgoing branches - Edges represent transfer of control flow from one block to another IBM’s Experience on Pipelined Processors Control Flow Graph [Agerwala and Cocke 1987] Shows possible paths of control flow through basic blocks BB 1 main: Code Characteristics (dynamic) addi r2, r0, A addi r3, r0, B - loads - 25% addi r4, r0, C BB 1 addi r5, r0, N BB 2 add r10,r0, r0 - stores - 15% bge r10,r5, end loop: - ALU/RR - 40% lw r20, 0(r2) lw r21, 0(r3) BB 2 bge r20,r21,T1 - branches - 20% BB 3 BB 4 sw r21, 0(r4) BB 3 b T2 • 1/3 unconditional (always taken) T1: sw r20, 0(r4) BB 4 T2: unconditional - 100% schedulable addi r10,r10,1 BB 5 addi r2, r2, 4 • 1/3 conditional taken addi r3, r3, 4 BB 5 addi r4, r4, 4 blt r10,r5, loop • 1/3 conditional not taken end: conditional - 50% schedulable Control Dependence - Node X is control dependant on Node Y if the computation in Y determines whether X executes Mapping CFG to CFG and Branches Linear Instruction Sequence Basic blocks and their constituent instructions must A AA be stored in sequential location in memory - In mapping a CFG to linear consecutive mem location, additional unconditional branches must be added C B B Encounter of branches (cond and uncond.) at run- C time induces deviations from implied sequential control flow and consequent disruptions to sequential D fetching of instructions - These disruptions cause stalls in Inst.Fetch (IF) stage and D reduce overall IF bandwidth D B C Branch Types and Implementation Branch-- actions Types of Branches When branches occur, disruption to IF occurs - Conditional or Unconditional? For unconditional branches - Subroutine Call (aka Link), needs to save PC? - Subsequent instruction cannot be fetched until target - How is the branch target computed? address determined • Static Target e.g. immediate, PC-relative For conditional branches • Dynamic targets e.g. register indirect - Machine must wait for resolution of branch condition - And if branch taken then wait till target address computed Conditional Branch Architectures Branch inst executed by the branch functional unit - Condition Code ‘N-Z-C-V’ e.g. PowerPC Note: Cost in superscalar/ILP processors = width - General Purpose Register e.g. Alpha, MIPS (parallelism) X stall cycles - Special Purposes register e.g. Power’s Loop Count - 3 stall cycles on a 4 wide machine = 12 lost cycles Condition Resolution Target Address Generation Fetch Fetch Decode Buffer PC- Decode Buffer Decode rel. CC Reg. Decode reg. ind. GP Dispatch Buffer Reg. Dispatch Buffer reg. Dispatch ind. value with Dispatch comp. offset Reservation Reservation Stations Stations Issue Issue Branch Branch Execute Execute Finish Finish Completion Buffer Completion Buffer Complete Complete Store Buffer Store Buffer Retire Retire What’s So Bad About Branches? Branch penalties Performance Penalties When branch occurs two parts needed: - Use up execution resources - Branch target address (BTA) has to be computed - Branch condition resolution - Fragmentation of I-Cache lines Addressing modes will affect BTA delay - Disruption of sequential control flow - For PC relative, BTA can be generated during Fetch stage • Need to determine branch direction (conditional for 1 cycle penalty branches) - For Register indirect, BTA generated after decode stage (to access register) = 2 cycle penalty • Need to determine branch target - For register indirect with offset = 3 cycle penalty For condition resolution, depends on methods Robs instruction fetch bandwidth and ILP - If condition code registers used, then penalty =2 - If ISA permits comparison of 2 registers then output of ALU => 3 cycles Penalty will be max of penalties for condition resolution and BTA What to do with branches Riseman and Foster’s Study To maximize sustained instruction fetch bandwidth, 7 benchmark programs on CDC-3600 number of stall cycles in fetch stage must be Assume infinite machine: minimized - Infinite memory and instruction stack, register file, fxn units The primary aim of instruction flow techniques Consider only true dependency at data-flow limit (branch prediction) is to minimize stall cycles and/or If bounded to single basic block, i.e. no bypassing of make use of these cycles to do useful work branches ⇒ maximum speedup is 1.72 - Note that there must be a mechanism to validate prediction Suppose one can bypass conditional branches and and to safely recover from misprediction jumps (i.e. assume the actual branch path is always known such that branches do not impede instruction execution) Br. Bypassed:012832128 Max Speedup: 1.72 2.72 3.62 7.21 24.4 51.2 Determining Branch Direction Determining Branch Target Problem: Cannot fetch subsequent instructions until branch Problem: Cannot fetch subsequent instructions until direction is determined branch target is determined Minimize penalty Minimize delay - Move the instruction that computes the branch condition - Generate branch target early in the pipeline away from branch (ISA&compiler) Make use of delay Make use of penalty - Bias for not taken - Bias for not-taken - Predict branch target - Fill delay slots with useful/safe instructions (ISA&compiler) - Follow both paths of execution (hardware) PC-relative vs Register Indirect targets - Predict branch direction (hardware) Branch Target Speculation – Branch Keys to Branch Prediction Target Buffer Target Address Generation Use branch target buffer (BTB) to store previous - Access register branch target address • PC, GP register, Link register BTB is a small fully associative cache - Perform calculation - Accessed during instruction fetch using PC • +/- offset, auto incrementing/decrementing BTB can have three fields ⇒ Target Speculation - Branch instruction address (BIA) - Branch target address (BTA) - History bits Condition Resolution When PC matches BIA, an entry is made into BTB - Access register - A hit in BTB Implies inst being fetched is branch inst • Condition code register, data register, count register - The BTA field can be used to fetch next instruction if - Perform calculation particular branch is predicted to be taken • Comparison of data register(s) - Note: br inst is still fetched and executed for ⇒ Condition Speculation validation/recovery Branch Condition Speculation History based prediction Biased For Not Taken - Does not affect the instruction set architecture Make prediction based on previous observation - Not effective in loops - Assumption guiding history based prediction is that historical info on direction taken by branch in previous execution can Software Prediction give helpful hints on direction it will take in future execution - Encode an extra bit in the branch instruction How much history ? What prediction ? • Predict not taken: set bit to 0 • Predict taken: set bit to 1 Finite state machine algorithm - Bit set by compiler or user; can use profiling - N state variables encode direction taken by last n exec of branch - Static prediction, same behavior every time • Each state represents particular history pattern in terms Prediction Based on Branch Offsets of taken/not-taken (T/NT) - Positive offset: predict not taken • Output logic generates prediction based on history - Negative offset: predict taken - When predicted branch is finally executed, use actual Prediction Based on History outcome to transition to next state - Next state logic – chain state variables into shift Reg. Branch Instruction Speculation Branch Target Buffer (BTB) A small “cache-like” memory in the instruction fetch stage nPC to Icache prediction FA-mux specu. target nPC(seq.) = PC+4 current Branch PC Fetch PC ……. ……. …… specu. cond. Predictor (using a BTB) Decode Buffer BTB Decode Branch Inst. Branch Branch Target update (target addr. Dispatch Buffer Address (tag) History (Most Recent) nPC=BP(PC) and history) Dispatch Remembers
Recommended publications
  • 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
    [Show full text]
  • Sections 3.2 and 3.3 Dynamic Scheduling – Tomasulo's Algorithm
    EEF011 Computer Architecture 計算機結構 Sections 3.2 and 3.3 Dynamic Scheduling – Tomasulo’s Algorithm 吳俊興 高雄大學資訊工程學系 October 2004 A Dynamic Algorithm: Tomasulo’s Algorithm • For IBM 360/91 (before caches!) – 3 years after CDC • Goal: High Performance without special compilers • Small number of floating point registers (4 in 360) prevented interesting compiler scheduling of operations – This led Tomasulo to try to figure out how to get more effective registers — renaming in hardware! • Why Study 1966 Computer? • The descendants of this have flourished! – Alpha 21264, HP 8000, MIPS 10000, Pentium III, PowerPC 604, … Example to eleminate WAR and WAW by register renaming • Original DIV.D F0, F2, F4 ADD.D F6, F0, F8 S.D F6, 0(R1) SUB.D F8, F10, F14 MUL.D F6, F10, F8 WAR between ADD.D and SUB.D, WAW between ADD.D and MUL.D (Due to that DIV.D needs to take much longer cycles to get F0) • Register renaming DIV.D F0, F2, F4 ADD.D S, F0, F8 S.D S, 0(R1) SUB.D T, F10, F14 MUL.D F6, F10, T Tomasulo Algorithm • Register renaming provided – by reservation stations, which buffer the operands of instructions waiting to issue – by the issue logic • Basic idea: – a reservation station fetches and buffers an operand as soon as it is available, eliminating the need to get the operand from a register (WAR) – pending instructions designate the reservation station that will provide their input (RAW) – when successive writes to a register overlap in execution, only the last one is actually used to update the register (WAW) As instructions are issued, the register specifiers for pending operands are renamed to the names of the reservation station, which provides register renaming • more reservation stations than real registers Properties of Tomasulo Algorithm 1.
    [Show full text]
  • Multiple Instruction Issue and Completion Per Clock Cycle Using Tomasulo’S Algorithm – a Simple Example
    Multiple Instruction Issue and Completion per Clock Cycle Using Tomasulo’s Algorithm – A Simple Example Assumptions: . The processor has in-order issue but execution may be out-of-order as it is done as soon after issue as operands are available. Instructions commit as they finish execu- tion. There is no speculative execution on Branch instructions because out-of-order com- pletion prevents backing out incorrect results. The reason for the out-of-order com- pletion is that there is no buffer between results from the execution and their com- mitment in the register file. This restriction is just to keep the example simple. It is possible for at least two instructions to issue in a cycle. The processor has two integer ALU’s with one Reservation Station each. ALU op- erations complete in one cycle. We are looking at the operation during a sequence of arithmetic instructions so the only Functional Units shown are the ALU’s. NOTES: Customarily the term “issue” is the transition from ID to the window for dy- namically scheduled machines and dispatch is the transition from the window to the FU’s. Since this machine has an in-order window and dispatch with no speculation, I am using the term “issue” for the transition to the reservation stations. It is possible to have multiple reservation stations in front of a single functional unit. If two instructions are ready for execution on that unit at the same clock cycle, the lowest station number executes. There is a problem with exception processing when there is no buffering of results being committed to the register file because some register entries may be from instructions past the point at which the exception occurred.
    [Show full text]
  • Tomasulo's Algorithm
    Out-of-Order Execution Several implementations • out-of-order completion • CDC 6600 with scoreboarding • IBM 360/91 with Tomasulo’s algorithm & reservation stations • out-of-order completion leads to: • imprecise interrupts • WAR hazards • WAW hazards • in-order completion • MIPS R10000/R12000 & Alpha 21264/21364 with large physical register file & register renaming • Intel Pentium Pro/Pentium III with the reorder buffer Autumn 2006 CSE P548 - Tomasulo 1 Out-of-order Hardware In order to compute correct results, need to keep track of: • which instruction is in which stage of the pipeline • which registers are being used for reading/writing & by which instructions • which operands are available • which instructions have completed Each scheme has different hardware structures & different algorithms to do this Autumn 2006 CSE P548 - Tomasulo 2 1 Tomasulo’s Algorithm Tomasulo’s Algorithm (IBM 360/91) • out-of-order execution capability plus register renaming Motivation • long FP delays • only 4 FP registers • wanted common compiler for all implementations Autumn 2006 CSE P548 - Tomasulo 3 Tomasulo’s Algorithm Key features & hardware structures • reservation stations • distributed hazard detection & execution control • forwarding to eliminate RAW hazards • register renaming to eliminate WAR & WAW hazards • deciding which instruction to execute next • common data bus • dynamic memory disambiguation Autumn 2006 CSE P548 - Tomasulo 4 2 Hardware for Tomasulo’s Algorithm Autumn 2006 CSE P548 - Tomasulo 5 Tomasulo’s Algorithm: Key Features Reservation
    [Show full text]
  • Tomasulo's Algorithm
    Lecture-12 (Tomasulo’s Algorithm) CS422-Spring 2018 Biswa@CSE-IITK Another Dynamic One: Tomasulo’s Algorithm • For IBM 360/91 about 3 years after CDC 6600 (1966) • Goal: High Performance without special compilers • Differences between IBM 360 & CDC 6600 ISA – IBM has only 2 register specifiers/instruction vs. 3 in CDC 6600 – IBM has 4 FP registers vs. 8 in CDC 6600 – IBM has memory-register ops • Why Study? lead to Alpha 21264, HP 8000, MIPS 10000, Pentium II, PowerPC 604, … CS422: Spring 2018 Biswabandan Panda, CSE@IITK 2 Tomasulo’s 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 CS422: Spring 2018 Biswabandan Panda, CSE@IITK 3 Tomasulo vs Scoreboard • Control & buffers distributed with Function Units (FU) vs. centralized in scoreboard; – FU buffers called “reservation stations”; have pending operands • Registers in instructions replaced by values or pointers to reservation stations(RS); called register renaming ; – avoids WAR, WAW hazards – More reservation stations than registers, so can do optimizations compilers can’t • Results to FU from RS, not through registers, over Common Data Bus that broadcasts results to all FUs • Load and Stores treated as FUs with RSs as wells CS422: Spring 2018 Biswabandan Panda, CSE@IITK 4 Reservation Station Components Op: Operation to perform in the unit (e.g., + or –) Vj, Vk: Value of Source operands – Store buffers has V field, result to be stored Qj, Qk: Reservation stations producing source registers (value to be written) – Note: No ready flags as in Scoreboard; Qj,Qk=0 => ready – Store buffers only have Qi for RS producing result Busy: Indicates reservation station or FU is busy Register result status—Indicates which functional unit will write each register, if one exists.
    [Show full text]
  • Tomasulo Algorithm and Dynamic Branch Prediction
    Lecture 4: Tomasulo Algorithm and Dynamic Branch Prediction Professor David A. Patterson Computer Science 252 Spring 1998 DAP Spr.‘98 ©UCB 1 Review: Summary • Instruction Level Parallelism (ILP) in SW or HW • Loop level parallelism is easiest to see • SW parallelism dependencies defined for program, hazards if HW cannot resolve • SW dependencies/compiler sophistication determine if compiler can unroll loops – Memory dependencies hardest to determine • HW exploiting ILP – Works when can’t know dependence at run time – Code for one machine runs well on another • Key idea of Scoreboard: Allow instructions behind stall to proceed (Decode => Issue instr & read operands) – Enables out-of-order execution => out-of-order completion – ID stage checked both for structural & data dependenciesDAP Spr.‘98 ©UCB 2 Review: Three Parts of the Scoreboard 1.Instruction status—which of 4 steps the instruction is in 2.Functional unit status—Indicates the state of the functional unit (FU). 9 fields for each functional unit Busy—Indicates whether the unit is busy or not Op—Operation to perform in the unit (e.g., + or –) Fi—Destination register Fj, Fk—Source-register numbers Qj, Qk—Functional units producing source registers Fj, Fk Rj, Rk—Flags indicating when Fj, Fk are ready 3.Register result status—Indicates which functional unit will write each register, if one exists. Blank when no pending instructions will write that register DAP Spr.‘98 ©UCB 3 Review: Scoreboard Example Cycle 3 Instruction status Read ExecutionWrite Instruction j k Issue operandscompleteResult LD F6 34+ R2 1 2 3 LD F2 45+ R3 MULTDF0 F2 F4 SUBD F8 F6 F2 DIVD F10 F0 F6 ADDD F6 F8 F2 Functional unit status dest S1 S2 FU for jFU for kFj? Fk? Time Name Busy Op Fi Fj Fk Qj Qk Rj Rk Integer Yes Load F6 R2 Yes Mult1 No Mult2 No Add No Divide No Register result status Clock F0 F2 F4 F6 F8 F10 F12 ..
    [Show full text]
  • WCAE 2003 Workshop on Computer Architecture Education
    WCAE 2003 Proceedings of the Workshop on Computer Architecture Education in conjunction with The 30th International Symposium on Computer Architecture DQG 2003 Federated Computing Research Conference Town and Country Resort and Convention Center b San Diego, California June 8, 2003 Workshop on Computer Architecture Education Sunday, June 8, 2003 Session 1. Welcome and Keynote 8:45–10:00 8:45 Welcome Edward F. Gehringer, workshop organizer 8:50 Keynote address, “Teaching and teaching computer Architecture: Two very different topics (Some opinions about each),” Yale Patt, teacher, University of Texas at Austin 1 Break 10:00–10:30 Session 2. Teaching with New Architectures 10:30–11:20 10:30 “Intel Itanium floating-point architecture,” Marius Cornea, John Harrison, and Ping Tak Peter Tang, Intel Corp. ................................................................................................................................. 5 10:50 “DOP — A CPU core for teaching basics of computer architecture,” Miloš BeþváĜ, Alois Pluháþek and JiĜí DanƟþek, Czech Technical University in Prague ................................................................. 14 11:05 Discussion Break 11:20–11:30 Session 3. Class Projects 11:30–12:30 11:30 “Superscalar out-of-order demystified in four instructions,” James C. Hoe, Carnegie Mellon University ......................................................................................................................................... 22 11:50 “Bridging the gap between undergraduate and graduate experience in
    [Show full text]
  • Verification of an Implementation of Tomasulo's Algorithm by Compositional Model Checking
    Verification of an Implementation of Tomasulo's Algorithm by Compositional Model Checking K. L. McMillan Cadence Berkeley Labs 2001 Addison St., 3rd floor Berkeley, CA 94704-1103 [email protected] Abstract. An implementation of an out-of-order processing unit based on Tomasulo's algorithm is formally verified using compositional model checking techniques. This demonstrates that finite-state methods can be applied to such algorithms, without recourse to higher-order proof sys- tems. The paper introduces a novel compositional system that supports cyclic environment reasoning and multiple environment abstractions per signal. A proof of Tomasulo's algorithm is outlined, based on refinement maps, and relying on the novel features of the compositional system. This proof is fully verified by the SMV verifier, using symmetry to reduce the number of assertions that must be verified. 1 Introduction We present the formal design verification of an "out-of-order" processing unit based on Tomasulo's algorithm [Tom67]. This and related techniques such as "register renaming" are used in modern microprocessors [LR97] to keep multiple or deeply pipelined execution units busy by executing instructions in data-flow order, rather than sequential order. The complex variability of instruction flow in "out-of-order" processors presents a significant opportunity for undetected er- rors, compared to an "in-order" pipelined machine where the flow of instructions is fixed and orderly. Unfortunately, this variability also makes formal verifica- tion of such machines difficult. They are beyond the present capacity of methods based on integrated decision procedures [BD94], and are not amenable to sym- bolic trajectory analysis [JNB96].
    [Show full text]
  • 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 .......................................................................................................................
    [Show full text]
  • MP-Tomasulo: a Dependency-Aware Automatic Parallel Execution Engine for Sequential Programs
    i i i i MP-Tomasulo: A Dependency-Aware Automatic Parallel Execution Engine for Sequential Programs CHAO WANG, University of Science and Technology of China XI LI and JUNNENG ZHANG, Suzhou Institute for University of Science and Technology of China XUEHAI ZHOU, University of Science and Technology of China XIAONING NIE,Intel This article presents MP-Tomasulo, a dependency-aware automatic parallel task execution engine for sequential programs. Applying the instruction-level Tomasulo algorithm to MPSoC environments, MP- Tomasulo detects and eliminates Write-After-Write (WAW) and Write-After-Read (WAR) inter-task depen- dencies in the dataflow execution, therefore to operate out-of-order task execution on heterogeneous units. We implemented the prototype system within a single FPGA. Experimental results on EEMBC applications demonstrate that MP-Tomasulo can execute the tasks out-of-order to achieve as high as 93.6% to 97.6% of ideal peak speedup. A comparative study against a state-of-the-art dataflow execution scheme is illustrated with a classic JPEG application. The promising results show MP-Tomasulo enables programmers to uncover more task-level parallelism on heterogeneous systems, as well as to ease the burden of programmers. Categories and Subject Descriptors: C.1.4 [Processor Architecture]: Parallel Architectures; D.1.3 9 [Programming Techniques]: Concurrent Programming—Parallel programming General Terms: Performance, Design Additional Key Words and Phrases: Automatic parallelization, data dependency, out-of-order execution ACM Reference Format: Wang, C., Li, X., Zhang, J., Zhou, X., and Nie, X. 2013. MP-Tomasulo: A dependency-aware automatic parallel execution engine for sequential programs. ACM Trans.
    [Show full text]
  • California State University, Northridge a Tomasulo
    CALIFORNIA STATE UNIVERSITY, NORTHRIDGE A TOMASULO BASED MIPS SIMULATOR A graduate project submitted in partial fulfillment of the requirement For the degree of Master of Science In Electrical Engineering By Reza Azimi May 2013 Signature Page The graduate project of Reza Azimi is approved: ____________________________________ _____________ Ali Amini, Ph.D. Date ____________________________________ _____________ Shahnam Mirzaei, Ph.D. Date ____________________________________ _____________ Ramin Roosta, Ph.D., Chair Date California State University, Northridge ii Acknowledgement I would like to thank Dr. Shahnam Mirzaei for providing nice ideas to work upon and Dr. Ramin Roosta for his guidance. I sincerely want to thank my other committee member Dr. Ali Amini for his support as a member of project committee. I would like to show gratitude to all of my project committee members for being great mentors and their continuous guidance. Most importantly, I like to thank my family for their endless support, unconditional love and great care throughout my life. iii Table of Contents Signature Page .................................................................................................................... ii Acknowledgement ............................................................................................................. iii List of Figures ..................................................................................................................... v List of Tables ....................................................................................................................
    [Show full text]
  • Superscalar Techniques – Register Data Flow Inside the Processor
    Advanced Computer Architectures 03 Superscalar Techniques – Data flow inside processor as result of instructions execution (Register Data Flow) Czech Technical University in Prague, Faculty of Electrical Engineering Slides authors: Michal Štepanovský, update Pavel Píša B4M35PAP Advanced Computer Architectures 1 Superscalar Technique – see previous lesson • The goal is to achieve maximum throughput of instruction processing • Instruction processing can be analyzed as instructions flow or data flow, more precisely: • register data flow – data flow between processor registers • instruction flow through pipeline Today’s lecture • memory data flow – to/from memory topic • It roughly matches to: • Arithmetic-logic (ALU) and other computational instructions (FP, bit- field, vector) processing • Branch instruction processing • Load/store instruction processing • maximizing the throughput of these three flows (or complete flow) correspond to the minimizing penalties and latencies of above three instructions types B4M35PAP Advanced Computer Architectures 2 Superscalar pipeline – see previous lesson Fetch Instruction / decode buffer Decode Dispatch buffer Dispatch Reservation stations Issue Execute Finish Reorder / Completion buffer Complete Store buffer Retire B4M35PAP Advanced Computer Architectures 3 Register data flow • load/store architecture – lw,sw,... instructions without other data processing (ALU, FP, …) or modifications • We start with register-register instruction type processing (all instructions performing some operation on source registers and using a destination register to store result of that operation) • Register recycling – The reuse of registers. It has two forms: • static – due to optimization performed by the compiler during register allocation. In first step, compiler generates single-assignment code, supposing infinity number of registers. In the second step, due to limited number of registers in ISA, it attempts to keep as many of the temporary values in registers as possible.
    [Show full text]