spike(1) — Commands
NAME
spike − Performs code optimization after linking a program
SYNOPSIS
spike binary_file [options...]
OPTIONS
−align_threshold n
Determines the frequency cutoff point for the alignment of profile-based basic blocks. Valid threshold values are floating-point numbers between 0 and 1, inclusive. A higher number means more basic blocks will be quadword aligned. [Default: 0.95]
−arch option
Specifies the version of the Alpha architecture for which to generate instructions. See cc(1) for information about the possible values of option and for a comparison of −arch and −tune. The default option is ev4. Spike will accept binaries that contain instructions that require an architectural extension not present in the processor specified by −arch. However, Spike will assume that the instructions are guarded by code that prevents their execution on some systems and will restrict some optimizations. For best results, use an appropriate −arch option.
−D n
Specifies new data segment starting address, where n is a 64-bit hexadecimal number without the leading “0x”.
−dcpi_prefetch
Enables DCPI profile-based prefetching (only works with feedback profile).
−dcpi_prefetch_latency n
Controls DCPI profile-based prefetching. The number (n) describes the minimum latency (in cycles) that a load must have to become a candidate for prefetching. [Default: 50]
−dcpi_prefetch_threshold float-arg
Controls DCPI profile-based prefetching. Valid threshold values are floating-point numbers between 0 and 1, inclusive. The number is used to determine the frequency cutoff for loads to be prefetched; a higher number means more loads will be prefetched. [Default: 0.75]
−feedback file
Causes Spike to use the feedback database stored in file, where file is the name of the input executable. This database is created by first compiling the program with the −feedback option (for example, cc -feedback prog) and then instrumenting and running the program with the pixie -update or prof -pixie -update command (see cc(1), pixie(1), and prof(1)).
−fb file
Causes Spike to use file.Addrs (basic block addresses file) and file.Counts (basic block counts file) for profile-based optimization. These files are produced by the pixie tool (see pixie(1) and prof(1)).
−help
Prints a short help screen.
−kernel
Use this option when applying Spike to the UNIX kernel (vmunix). Spike can be applied only to V5.1 or later kernels.
−noaggressiveAlign
Reduces the number of padding nops inserted into the code to align instructions. The alignment usually makes the code run faster, but makes the code larger, which can cause more instruction cache misses.
−nochain
Disables basic block chaining, which arranges code so that the fall through path is the commonly taken path.
−nodtk
Invokes the original Spike and not the DTK version.
−noporder
Disables procedure ordering.
−nosplit
Disables code layout optimization that splits procedures into multiple parts.
−O, −O0, −O1, −O2
Specify Spike’s optimization level. These flags are provided for compatibility with other compilation tools and currently have no effect.
−o output_file
Names the optimized binary output file. The default file name is a.out.
−obsolete_linkerdefs
Specifies that obsolete linker-defined symbols are to be ignored. (See RESTRICTIONS.)
−optimize_threshold n
Determines the frequency cutoff point for profile-based optimizations. Valid threshold values are floating-point numbers between 0 and 1, inclusive. A higher number means more routines will be optimized. [Default: 0.99]
−split_threshold n
Determines the frequency cutoff point for profile-based routine splitting. Valid threshold values are floating-point numbers between 0 and 1, inclusive. A higher number means more code is considered hot and less code is considered cold. [Default: 0.95]
−stride_prefetch
Enables stride prefetching based on a profile of data-address strides collected by using the Pixie tool. This optimization mainly targets programs in which many data cache misses occur inside loops.
−symbols_live
Keeps unreachable routines from being deleted by Spike if they have an entry in the symbol table.
−T n
Specifies new text segment starting address, where n is a 64-bit hexadecimal number without the leading “0x”.
−tune option
Instructs the optimizer to tune the application for a specific version of the Alpha architecture. See cc(1) for information about the possible values of option and for a comparison of −tune and −arch. The default option is ev6.
−VDisplays the version number of Spike.
−verbose
Enables extra warning messages.
OPERANDS
binary_file
Name of the binary file to which Spike is to be applied.
DESCRIPTION
Spike is a tool for performing code optimization after linking. It is a replacement for om and does similar optimizations. Because it can operate on an entire program, Spike is able to do optimizations that cannot be done by the compiler.
Some of the optimizations that Spike performs are code layout, deleting unreachable code, and optimization of address computations. Spike is most effective when it uses profile information to guide optimization.
Spike can process binaries linked on Tru64 UNIX (formerly Digital UNIX) Version 4.0 or later systems. Binaries that are linked on Version 5.1 or later systems contain information that allows Spike to do additional optimization.
You can use Spike in two ways:
•By applying the spike command to a binary file after compilation.
•As part of the compilation process, by specifying the −spike option with the cc command (or the cxx, f77, or f90 command, if the associated compiler is installed).
The −spike option is more convenient when you are not using profile information (Example 2), or you are using profile information in the compiler, too (Example 3). The spike command is more convenient if you do not want to relink the executable (Example 1) or you are using profile information after compilation (Examples 4 and 5).
All spike command options can be passed directly to the cc command’s −spike option by using the cc command’s −WS option. Example 6 shows the syntax.
RESTRICTIONS
Spike cannot process the following images:
•Images that have been stripped.
•Images that contain certain obsolete linker-defined symbols and structures such as RPDR tables (see Section 2.3.7, Special Symbols, of the Object File/Symbol Table Format Specification). This can be overruled by using the −obsolete_linkerdefs option, but the resulting binary files may be incorrect, so use with caution.
•Images that modify the text section at run time.
Using cord, atom, pixie, hiprof, or third on an image that has been processed with Spike is unsupported.
NOTES
Spike tries to update the symbol table in the binary so that the optimized binary can be debugged. As with other compiler optimizations, there may be some situations where the debugger may not be able to properly report the current location in the program or display the values of variables. If Spike divides a procedure into multiple disjoint parts, the main body will keep the original procedure name, but the other parts will have names that are the original name with _cold_n (where n is a unique number) appended to the end.
EXAMPLES
1.In the following example, Spike is applied to the binary my_prog, producing the optimized output file prog1.opt:
% spike my_prog -o prog1.opt
2.In the following example, Spike is applied during compilation with the cc command’s −spike option:
% cc -c file1.c
% cc -o prog3 file1.
The first command line creates the object file file1.o. The second command line links file1.o into an executable image and uses Spike to optimize the executable image.
3.The following example shows how to optimize a program, prog, by first compiling it with the −feedback option, then merging profiling statistics from two instrumented runs of the program, and then compiling it with the −spike and −feedback options so that the feedback information stored in the executable image is used by the compiler and Spike:
% cc -feedback prog -o prog ∗.c
% pixie -pids prog
% prog.pixie
(input set 1)
% prog.pixie
(input set 2)
% prof -pixie -update prog prog.Counts.∗
% cc -spike -feedback prog -o prog ∗.c
The first compilation produces an augmented executable image that will later accept feedback information.
The pixie command creates an instrumented program (prog.pixie), which is then run twice. The −pids option adds the process ID of each test run to the name of the profiling data file produced −− for example, prog.Counts.371 and prog.Counts.422.
The prof -pixie command merges the two data files. The −update option updates the executable image, prog, with the combined information.
The program is compiled with the −spike and −feedback options so the feedback information stored in the executable image is used by the compiler and Spike.
4.The following example shows how to optimize a program, prog, by first compiling it with the −feedback option, then merging profiling statistics from two instrumented runs of the program, and then applying the spike -feedback command to use the feedback information stored in the executable image:
% cc -feedback prog -o prog ∗.c
% pixie -pids prog
% prog.pixie
(input set 1)
% prog.pixie
(input set 2)
% prof -pixie -update prog prog.Counts.∗
% spike prog -feedback prog -o prog.opt
As in the previous example, the first compilation produces an augmented executable image. The instrumented program is run twice, producing a uniquely named data file each time. The prof -pixie -update command merges the two data files and updates the executable image with the combined information.
The spike -feedback command uses the combined profiling information to produce the optimized output file prog.opt.
5.The following example shows how to optimize a program, prog, by merging profiling statistics from two instrumented runs of the program, then applying the spike -fb command to use the feedback information in the .Addrs and .Counts files:
% cc prog -o prog ∗.c
% pixie -pids prog
% prog.pixie
(input set 1)
% prog.pixie
(input set 2)
% prof -pixie -merge prog.Counts prog prog.Addrs prog.Counts.∗
% spike prog -fb prog -o prog.opt
The first compilation produces a normal executable image. As in the previous example, the instrumented program is run twice, producing a uniquely named data file each time.
The prof -pixie -merge command merges the two data files into one combined prog.Counts file.
The spike -fb command uses the information in prog.Addrs and prog.Counts to produce the optimized output file prog.opt.
The method in Example 4 is preferred. You should use the method in Example 5 only if you cannot compile with the −feedback option, which uses feedback information stored in the executable image.
6.The following example shows the syntax for passing spike command options to the cc command’s −spike option by using the cc command’s −WS option:
% cc -spike -feedback prog -o prog ∗.c \
-WS,-splitThresh,.999,-noaggressiveAlign
7.The following example shows how to optimize a program, prog, using profiles obtained by using the DCPI profiler:
% mkdir db # create profile directory
% dcpid db # start dcpi demon
% ./prog # run your program
% dcpiquit # stop dcpi demon
% dcpi2bb -make_bbdb -counts -pm all -conf_low -db db prog
# store feedback information in the binary
spike prog -feedback prog # spike your program utilizing feedback
8.The following example is similar to the previous one, but it contains three modifications for DCPI-based prefetching:
% mkdir db # create profile directory
% dcpid -vtrace /usr/lib/dcpi/vp-ldlatency.so db # start dcpi demon
% ./prog # run your program
% dcpiquit # stop dcpi demon
% dcpi2bb -make_bbdb -counts -pm all -conf_low -load_lat -db db prog
# store feedback information in the binary
% spike prog -dcpi_prefetch -feedback prog
# spike your program utilizing feedback
9.The following example demonstrates how to perform stride prefetching:
1.First, instrument an executable image (prog) for profiling address strides by the following command:
% pixie -stats dstride prog # Step (a): instrumentation
This command creates an instrumented program (prog.pixie).
2.Second, run the instrumented program with the input intended for training purpose:
% prog.pixie input # Step (b): stride profiling
This command generates a profile of address strides, which is stored into the file prog.Counts.
3.Finally, invoke Spike to insert stride prefetches:
% spike prog -fb prog -stride_prefetch -o prog.pf
# Step (c): prefetch insertion
The output (prog.pf) is a version of the program with stride prefetches inserted.
Note that it is possible to perform both stride prefetching and other feedback-directed optimizations at the same time. To do this, you need to first collect the feedback information for the other optimizations and store it into the executable image using the following sequence:
% cc -feedback prog -o prog ∗.c
% pixie prog
% prog.pixie input
% prof -pixie -update prog prog.counts
Then, you basically repeat Steps (a) to (c) for stride prefetching, except that you need to turn on both stride prefetching and other feedback-directed optimizations in a single spike command:
% pixie -stats dstride prog # same as Step (a)
% prog.pixie input # same as Step (b)
% spike prog -feedback prog -fb prog -stride_prefetch -o prog.opt_pf
# Step (c) plus other feedback-directed optimizations
The output (prog.opt_pf) is a version of the program with both stride prefetching and other feedback-directed optimizations.
RETURN STATUS
Spike returns the following status values:
| 0: | Success |
| Nonzero: | Error |
SEE ALSO
Programmer’s Guide
The spike web page at http://www.tru64unix.compaq.com/spike/
The DCPI web page at http://www.tru64unix.compaq.com/dcpi/