A pipelined instruction dispatch or grouping circuit allows instruction dispatch decisions to be made over multiple processor cycles. In one embodiment, the grouping circuit performs resource allocation and data dependency checks on an instruction group, based on a state vector which includes representation of source and destination registers of instructions within said instruction group and corresponding state vectors for instruction groups of a number of preceding processor cycles.

Patent
   RE38599
Priority
Jun 11 1996
Filed
Apr 07 2003
Issued
Sep 21 2004
Expiry
Jun 11 2016

TERM.DISCL.
Assg.orig
Entity
Large
11
7
all paid
1. A central processing unit, comprising:
a plurality of functional units, each functional unit adapted to execute an instruction of said central processing unit; and
a grouping logic circuit, including a number of pipeline stages and receiving, at each processor cycle, a group of instructions and one or more state vectors each representing states of instructions previously received at said grouping logic circuit in a preceding processor cycle wherein, based on said state vectors, said grouping logic circuit dispatches each of said currently received instructions to be executed by one of said functional units, and provides a current state vector representing states of instructions of said currently received instructions.
2. A central processing unit as in claim 1, wherein said grouping logic circuit checks data dependency among said group of instructions to determine whether said group of instructions can be dispatched simultaneously.
3. A central processing unit as in claim 1, wherein said grouping logic circuit checks for resource contention within said group of instructions.
4. A central processing unit as in claim 1, wherein said grouping logic circuit checks data dependency of an instruction group at one processor cycle and a group of instruction received in a previous processor cycle.
5. A central processing unit as in claim 1, wherein the state of said central processing unit is represented in a register, said state including representation of destination registers of instructions in said group of instructions.
6. A central processing unit as in claim 1, wherein all instruction in a group of instructions received in a first processor cycle are dispatched prior to dispatching any instruction of a second group of instructions received at an processor cycle subsequent to said first processor cycle.
7. A central processing unit as in claim 1, wherein said functional units include a pipelined functional unit capable of receiving an instruction every processor cycle and completing said instruction at a subsequent processor cycle.
8. A central processing unit as in claim 1, wherein said functional units include a functional unit requiring multiple processor cycles to complete an instruction executed at said functional unit.
9. A central processing unit as in claim 1, wherein said grouping logic circuit derives a state vector for a group of instructions received at a first processor cycle based on a number of state vectors derived for groups of instructions received in a number of processor cycles immediately preceding said first processor cycle, said number of processor cycles being equal to said number of pipeline stages.

This application is a

An embodiment of the present invention is illustrated by the block diagram of FIG. 1, which shows a central processing unit (CPU) 100 in an exemplary 4-way superscalar processor of the present invention. A 4-way superscalar processor fetches, dispatches, executes and retires up to four instructions per processor cycle. As shown in FIG. 1, central processing unit 100 includes two arithmetic logic units 101 and 102, a load/store unit 103, which includes a 9-deep load buffer 104 and an 8-deep store buffer 105, a floating point adder 106, a floating point multiplier 107, and a floating point divider 108. In this embodiment, a grouping logic circuit 109 dispatches up to four instructions per processor cycle. Completion unit 110 retires instructions upon completion. A register file (not shown), including numerous integer and float point registers, is provided with sufficient number of ports to prevent contention among functional units for access to this register file during operand fetch or result write-back. In this embodiment also, loads are non-blocking, i.e., CPU 100 continues to execute even though one or more dispatched load instructions have not complete. When the data of the load instructions are returned from the main memory, these data can be placed in a pipeline for storage in a second-level cache. In this embodiment, floating point adder 106 and floating point multiplier 107 each have a 4-stage pipeline. Similarly, load/store unit 103 has a 2-stage pipeline. Floating point divider 108, which is not pipelined, requires more than one processor cycle per instruction.

To simplify the discussion below, the state of CPU 100 relevant to grouping logic 109 is summarized by a state variable S(t), which is defined below. Of course, the state of CPU 100 includes also other variables, such as those conventionally included in the processor status word. Those skilled in the art would appreciate the use and implementation of processor states. Thus, the state S(t) at time t of CPU 100 can be represented by:

S(t)={ALU1(t), ALU2(t), LS(t), LB(t), SB(t), FA(t), FM(t), FSD(t)}

where

ALU1(t) and ALU2(t) are the states, at time t, of arithmetic logic units 101 and 102 respectively; LS(t) and LB(t) are the states, at time t, of store buffer 105 and load buffer 104 respectively; FA(t), FM(t), and FDS(t) are the states, at time t, of floating point adder 106, floating point multiplier 107 and floating point divider 108 respectively.

At any given time, the state of each functional unit can be represented by the source and destination registers specified in the instructions dispatched to the functional unit but not yet retired. Thus,

ALU1={ALU1.rs1(t), ALU1.rs2(t), ALU1.rd(t)}

where

rs1(t), rs2(t) and rd(t) are respectively the first and second source registers, and the destination of registers of the instruction executing at time t in arithmetic logic unit 101.

Similarly, the state of arithmetic logic unit 102 can be defined as:

ALU2={ALU2.rs1(t), ALU2.rs2(t), ALU2.rd(t)}

For pipelined functional units, such as floating point adder 106, the state is relatively more complex, consisting of the source and destination registers of the instructions in their respectively pipeline. Thus, for the pipelined units, i.e., load/store unit 103, load buffer 104, store buffer 105, floating point adder 106, and floating point multiplier 107, their respective states, at time t, LS(t), LB(t), SB(t), FA(t) and FM(t) can be represented by:

LS={LS.rs1i(t), LS.rs2i(t), LS.rdi(t)} for i={1, 2}

LB={LB.rs1i(t), LB.rs2i(t), LB.rdi(t)} for i={1,2, . . . ,9}

SB={SB.rs1i(t), SB.rs2i(t), SB.rdi(t)} for i={1,2, . . . ,8}

FA={FA.rs1i(t), FA.rs2i(t), FA.rdi(t)} for i={1, . . . ,4}

Finally, floating point divider 108's state FSD(t)

FM={FM.rs1i(t), FM.rs2i(t), FM.rdi(t)} for i={1, . . . ,4}

can be represented by:

FDS={FDS.rs1i(t), FDS.rs2i(t), FDS.rdi(t)}

State variable S(t) can be represented by a memory element, such as a register or a content addressable memory unit, at either a centralized location or in a distributed fashion. For example, in the distributed approach, the portion of state S(t) associated with a given functional unit can be implemented with the control logic of the functional unit.

In the prior art, a grouping logic circuit would determine from the current state, S(t) at time t, the next state S(t+1), which includes information necessary to dispatch the instructions of the next processor cycle at time t+1. For example, to avoid a read-after-write hazard, such a grouping circuit would exclude from the next state S(t+1) an instruction having an operand to be fetched from a register designated for storing a result of a yet incomplete instruction. As another example, such a grouping circuit would include in state S(t+1) no more than one floating point "add" instruction in each processor cycle, since only one floating point adder (i.e. floating point adder 106) is available. As discussed above, as complexity increases, the time required for propagating through the grouping logic circuit can become a critical path for the processor cycle. Thus, in accordance with the present invention, grouping logic circuit 109 is pipelined to derive, over τ processor cycles, a future state S(t+τ) based on the present state S(t). The future state S(t+τ) determines the instruction group to dispatch at time t+τ. Pipelining grouping logic 109 is possible because, as demonstrated below, (i) the values of most state variables in the state S(t+τ) can be estimated from corresponding values of state S(t) with sufficient accuracy, and (ii) for those state variables for which values can not be accurately predicted, it is relatively straightforward to provide for all possible outcomes of state S(t+τ), or to use a conservative approach (i.e. not dispatching an instruction when such an instruction could have been dispatched) with a slight penalty on performance.

The process for predicting state S(t+τ) is explained next. The following discussion will first show that most components of next state S(t+1) can be precisely determined from present state S(t), and the remaining components of state S(t) can be reasonably determined, provided that certain non-deterministic conditions are appropriately handled. By induction, it can therefore be shown that future state S(t+τ), where τ is greater than 1, can likewise be determined from state S(t).

Since an instruction in floating point adder 106 or floating point multiplier 107 completes after four processor cycles and an instruction in load/store unit 103 completes after two processor cycles, the states FA, FM and LS at time t+1 can be derived from the corresponding state S(t) at time t, the immediately preceding processor cycle. In particular, the relationship governing the source and destination registers of each instruction executing in floating point adder 106, floating point multiplier 107 and load/store unit 103 between time t+1 and time t are:

rs1i(t+1)=rs1i-1(t), for 1<i≦k

rs2i(t+1)=rs2i-1(t), for 1<i≦k

rdi(t+1)=rdi-1(t), for 1<i≦k

where k is the depth of the respective pipeline.

The state FSD(t+1) of floating point divider 108, in which the time required to execute an instruction can exceed an processor cycle, is determined from state FSD(t) by:

FSD(t+1)=FSD(t) {if last stage} else null

Whether or not floating point divider 108 is in its last stage can be determined from, for example, a hardware counter or a state register, which keep tracks of the number of processor cycles elapsed since the instruction in floating point divider 108 began execution.

In load buffer 104 and store buffer 105, since the pending read or write operation at the head of each queue need not complete within one processor cycle, the state LB(t+1) at time t+1 cannot be determined from the immediately previous state LB(t) at time t with certainty. However, since state LB(t+1) can only either remain the same, or reflect the movement of the pipeline by one stage, two possible approaches to determine state LB(t+1) can be used. First, a conservative approach would predict LB(t+1) to be the same as LB(t). Under this approach, when load buffer 104 is full, an instruction is not dispatched until the pipeline in load buffer 106 advances. An incorrect prediction, i.e. a load instruction completes during the processor cycle of time t, this conservative approach leads to a penalty of one processor cycle, since a load instruction could have been dispatched at time t+1. Alternatively, a more aggressive approach provides for both outcomes, i.e. load buffer 104 advances one stage, and load buffer 104 remains the same. Under this aggressive approach, grouping logic 109 is ready to dispatch a load instruction, such dispatch to be enabled by a control signal which indicates, at time t+1, whether a load instruction has in fact completed. This aggressive approach requires more a complex logic circuit than the conservative approach.

Thus, the skilled person would appreciate that state S(t+1) of CPU 100 can be predicted from state S(t). Consequently, both the number of instructions and the types of instructions that can be dispatched at time t+1 (i.e. the instruction group at time t+1) based on predicted state S(t+1) can be derived, at time t, from state S(t), subject to additional handling based on the actual state SA(t+1) at time t+1.

The above analysis can be can be extended to allow state S(t+τ) at time t+τ to be derived from state S(t) at time t. The instruction group at time t+τ can be derived from time t, provided that, for each instruction group between time t and t+τ, all instruction from that instruction group must be dispatched before any instruction from a subsequent instruction group is allowed to be dispatched (i.e. no instruction group merging).

Since instructions from different instruction groups are not merged, intra-group dependencies and inter-group dependencies can be checked in parallel. The instructions are either fetched from an instruction cache or an instruction buffer. An instruction buffer is preferable in a system in which not all accesses (e.g. branch instructions) to the instruction cache are aligned, and multiple entry points in the basic blocks of a program are allowed.

Once four candidate instructions for an instruction group are identified, intra-group data dependency checking can begin. Because of the constraint against instruction group merging described above, i.e., all instructions in an instruction group must be dispatched before an instruction from a subsequent instruction group can be dispatched, intra-group dependency checking can be accomplished in a pipelined fashion. That is, intra-group dependency checking can span more than one processor cycle and all inter-group dependency checking can occur independently of inter-group dependency checking. For the purpose of intra-group dependency check, each instruction group can be represented by:

IntraS(t)={rs1i(t), rs2i(t), rdi(t), resi(t)} for 0≦i<W-1

where W is the width of the machine, and resi represents the resource utilization of instruction I. An example of a four-stage pipeline 200 is shown in FIG. 2. In FIG. 2, at first stage 201, as soon as the instruction group is constituted, intra-group dependency checking is performed immediately. Thereafter, at stage 202, resource allocation within the instruction group can be determined. At stage 203, inter-group decisions, e.g. resource allocation decisions taking into consideration resource allocation in previous instruction groups, are merged with the decisions at stages 201 and 202. For example, if the present instruction group includes an instruction designated for floating point divider 108, stage 203 would have determined at by this time if a previous instruction using floating point divider 108 would have completed by the time the present instruction group is due to be dispatched. Finally, at stage 204, non-deterministic conditions, e.g. the condition at store buffer 105, is considered. Dispatchable instructions are issued into CPU 100 at the end of stage 204.

The above detailed description is provided to illustrate the specific embodiments of the present invention and is not intended to be limiting. Numerous variations and modifications within the scope of the present invention are possible. The present invention is defined by the following claims.

Tremblay, Marc

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Patent Priority Assignee Title
5127093, Jan 17 1989 CRAY, INC Computer look-ahead instruction issue control
5497499, Mar 19 1992 HANGER SOLUTIONS, LLC Superscalar risc instruction scheduling
5560028, Nov 05 1993 INTERGRAPH HARDWARD TECHNOLOGIES COMPANY Software scheduled superscalar computer architecture
5594864, Apr 29 1992 Sun Microsystems, Inc. Method and apparatus for unobtrusively monitoring processor states and characterizing bottlenecks in a pipelined processor executing grouped instructions
5627984, Mar 31 1993 Intel Corporation Apparatus and method for entry allocation for a buffer resource utilizing an internal two cycle pipeline
5958042, Jun 11 1996 Oracle America, Inc Grouping logic circuit in a pipelined superscalar processor
EP651323,
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