8353741: Eliminate table lookup in UUID.toString #22928

wenshao · 2025-01-06T13:18:50Z

Improve the performance of UUID::toString by using Long.expand and SWAR (SIMD within a register) instead of table lookup. Eliminating the table lookup can also avoid the performance degradation problem when the cache misses.

Progress

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Commit message must refer to an issue

Issue

JDK-8353741: Eliminate table lookup in UUID.toString (Enhancement - P4)

Reviewers

Roger Riggs (@RogerRiggs - Reviewer)

Reviewing

Using git

Checkout this PR locally:
$ git fetch https://git.openjdk.org/jdk.git pull/22928/head:pull/22928
$ git checkout pull/22928

Update a local copy of the PR:
$ git checkout pull/22928
$ git pull https://git.openjdk.org/jdk.git pull/22928/head

Using Skara CLI tools

Checkout this PR locally:
$ git pr checkout 22928

View PR using the GUI difftool:
$ git pr show -t 22928

Using diff file

Download this PR as a diff file:
https://git.openjdk.org/jdk/pull/22928.diff

Using Webrev

Link to Webrev Comment

bridgekeeper · 2025-01-06T13:19:51Z

👋 Welcome back swen! A progress list of the required criteria for merging this PR into master will be added to the body of your pull request. There are additional pull request commands available for use with this pull request.

openjdk · 2025-01-06T13:20:58Z

@wenshao This change now passes all automated pre-integration checks.

ℹ️ This project also has non-automated pre-integration requirements. Please see the file CONTRIBUTING.md for details.

After integration, the commit message for the final commit will be:

8353741: Eliminate table lookup in UUID.toString

Reviewed-by: rriggs

You can use pull request commands such as /summary, /contributor and /issue to adjust it as needed.

At the time when this comment was updated there had been 43 new commits pushed to the master branch:

8153683: 8345826: Do not automatically resolve jdk.internal.vm.ci when libgraal is used
400c935: 8356904: Skip jdk/test/lib/process/TestNativeProcessBuilder on static-jdk
2dfbf41: 8351907: [XWayland] [OL10] Robot.mousePress() is delivered to wrong place
... and 40 more: https://git.openjdk.org/jdk/compare/bd99525633e4d3d3f180a6678eedb8780dbb6139...master

As there are no conflicts, your changes will automatically be rebased on top of these commits when integrating. If you prefer to avoid this automatic rebasing, please check the documentation for the /integrate command for further details.

➡️ To integrate this PR with the above commit message to the master branch, type /integrate in a new comment.

openjdk · 2025-01-06T13:21:32Z

@wenshao this pull request can not be integrated into master due to one or more merge conflicts. To resolve these merge conflicts and update this pull request you can run the following commands in the local repository for your personal fork:

git checkout optim_uuid_to_string_202501
git fetch https://git.openjdk.org/jdk.git master
git merge FETCH_HEAD
# resolve conflicts and follow the instructions given by git merge
git commit -m "Merge master"
git push

openjdk · 2025-01-06T13:21:50Z

@wenshao The following label will be automatically applied to this pull request:

core-libs

When this pull request is ready to be reviewed, an "RFR" email will be sent to the corresponding mailing list. If you would like to change these labels, use the /label pull request command.

wenshao · 2025-01-06T16:25:03Z

Under the x64 architecture, performance is significantly improved. However, on some aarch64 platforms, performance regresses.. The performance numbers are as follows:

1. Script

git remote add wenshao git@github.com:wenshao/jdk.git
git fetch wenshao

# baseline dfaa89162a3
git checkout dfaa89162a35acd20b1ed35e147f9626a181510a
make test TEST="micro:java.util.UUIDBench.toString"

 # current 010ab70c00b
git checkout 010ab70c00b7c0f417127c050654a381b489d052
make test TEST="micro:java.util.UUIDBench.toString"

2. aliyun_ecs_c8a_x64 (CPU AMD EPYC™ Genoa)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  84.620 ± 15.957  ops/us

+Benchmark           (size)   Mode  Cnt    Score   Error   Units (current 010ab70c00b)
+UUIDBench.toString   20000  thrpt   15  130.913 ± 0.111  ops/us +54.70%

3. aliyun_ecs_c8i_x64 (CPU Intel®Xeon®Emerald Rapids)

-Benchmark           (size)   Mode  Cnt   Score    Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  84.754 ± 0.291  ops/us

+Benchmark           (size)   Mode  Cnt    Score   Error   Units (current 010ab70c00b)
+UUIDBench.toString   20000  thrpt   15  94.817 ± 0.231  ops/us +11.87%

4. aliyun_ecs_c8y_aarch64 (CPU Aliyun Yitian 710)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (current 010ab70c00b)
-UUIDBench.toString   20000  thrpt   15  70.288 ± 0.147  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units
+UUIDBench.toString   20000  thrpt   15  92.088 ± 0.137  ops/us +31.01%

5. MacBook M1 Pro (aarch64)

-Benchmark           (size)   Mode  Cnt    Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  109.001 ? 0.354  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current 010ab70c00b)
+UUIDBench.toString   20000  thrpt   15  80.671 ? 0.722  ops/us -25.99%

6. orange_pi5_aarch64 (CPU RK3588S)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  37.752 ± 1.430  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current 010ab70c00b)
+UUIDBench.toString   20000  thrpt   15  30.940 ± 1.474  ops/us -18.04

7. orange_aipro_aarch64 (CPU TAISHANV200M)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  13.764 ± 0.262  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current 010ab70c00b)
+UUIDBench.toString   20000  thrpt   15  13.310 ± 0.175  ops/us -3.29%

wenshao · 2025-01-08T13:38:06Z

// Method 1:
i = Long.reverseBytes(Long.expand(i, 0x0F0F_0F0F_0F0F_0F0FL));

// Method 2:
i = ((i & 0xF0000000L) >> 28)
  | ((i & 0xF000000L) >> 16)
  | ((i & 0xF00000L) >> 4)
  | ((i & 0xF0000L) << 8)
  | ((i & 0xF000L) << 20)
  | ((i & 0xF00L) << 32)
  | ((i & 0xF0L) << 44)
  | ((i & 0xFL) << 56);

Note: Using Long.reverseBytes + Long.expand is faster on x64 and ARMv9.
However, on AArch64 with ARMv8, it will be slower compared to the manual unrolling shown in Method 2.
ARMv8 includes Apple M1/M2, AWS Graviton 3; ARMv9.0 includes Apple M3/M4, Aliyun Yitian 710.

j3graham · 2025-01-10T22:34:55Z

By stepping through the code of Long.expand, and substituting in the constants, I come up with this:

   static long expandNibbles(long i){
        // Inlined version of Long.expand(i,0x0F0F_0F0F_0F0F_0F0FL)
        long t = i << 16;
        i = (i & ~0xFFFF00000000L) | (t & 0xFFFF00000000L);
        t = i << 8;
        i = (i & ~0xFF000000FF0000L) | (t & 0xFF000000FF0000L);
        t = i << 4;
        i = (i & ~0xF000F000F000F00L) | (t & 0xF000F000F000F00L);
        
        return i & 0x0F0F_0F0F_0F0F_0F0FL;
    }

This looks like it might actually do better than Method 2. If inlining and constant folding is happening in the non-intrinsic Long.expand I would imagine it would perform comparably to this.

wenshao · 2025-01-11T05:21:36Z

The new implementation improves performance on the aarch64 architecture but results in a performance regression on x64.

1. Script

git remote add wenshao git@github.com:wenshao/jdk.git
git fetch wenshao

# baseline dfaa89162a3
git checkout dfaa89162a35acd20b1ed35e147f9626a181510a
make test TEST="micro:java.util.UUIDBench.toString"

 # current c513087056b
git checkout c513087056be8c1e1a915625e0b425a7ecbb21d6
make test TEST="micro:java.util.UUIDBench.toString"

2. aliyun_ecs_c8a_x64 (CPU AMD EPYC™ Genoa)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  94.274 ± 0.452  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current c513087056b)
+UUIDBench.toString   20000  thrpt   15  80.241 ± 0.894  ops/us -14.88%

3. aliyun_ecs_c8i_x64 (CPU Intel®Xeon®Emerald Rapids)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  85.323 ± 2.044  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current c513087056b)
+UUIDBench.toString   20000  thrpt   15  73.636 ± 0.590  ops/us -13.69%

4. aliyun_ecs_c8y_aarch64 (CPU Aliyun Yitian 710)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  69.286 ± 1.136  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current c513087056b)
+UUIDBench.toString   20000  thrpt   15  80.475 ± 0.310  ops/us +16.14%

5. MacBook M1 Pro (aarch64)

-Benchmark           (size)   Mode  Cnt    Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  108.254 ? 1.167  ops/us

+Benchmark           (size)   Mode  Cnt    Score   Error   Units (current c513087056b)
+UUIDBench.toString   20000  thrpt   15  122.313 ? 0.820  ops/us +12.98%

6. orange_pi5_aarch64 (CPU RK3588S)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  37.783 ± 1.553  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current c513087056b)
+UUIDBench.toString   20000  thrpt   15  42.928 ± 2.534  ops/us +13.61%

7. orange_aipro_aarch64 (CPU TAISHANV200M)

-Benchmark           (size)   Mode  Cnt   Score   Error   Units (baseline dfaa89162a3)
-UUIDBench.toString   20000  thrpt   15  13.822 ± 0.203  ops/us

+Benchmark           (size)   Mode  Cnt   Score   Error   Units (current c513087056b)
+UUIDBench.toString   20000  thrpt   15  18.946 ± 0.156  ops/us +37.07%

j3graham · 2025-01-13T22:19:49Z

The non-intrinsified java code should be able to run as quickly as the hand-inlined one.

I think I've found an issue that prevents the code from being constant-folded as expected. C2 seems to not do constant-folding of xor nodes.

See #23089 for an attempt at addressing this.

liach · 2025-01-14T09:08:34Z

Does this expandNibbles compile to any xor nodes in the GVN?

Note that aarch64 has an intrinsic for expand that goes through the vector processing unit. Don't know if that intrinsic or the constant folding takes priority; might need further tweaks to hotspot if that intrinsic comes before the constant folded result and slows things down.

j3graham · 2025-01-14T18:39:50Z

There are no XOR nodes in expandNibbles

j3graham · 2025-01-14T19:14:05Z

With regard to the aarch64 vector instrinsic, I don't have access to an aarch64 to try it on (I'm faking it x64 by disabling the intrinsic). @wenshao would it be possible for you to try the Long.expand version of this patch with the patch from #23089 to see how aarch64 performs?

mlbridge · 2025-04-04T16:47:19Z

Webrevs

wenshao · 2025-04-08T01:08:15Z

https://github.com/wenshao/jdk/tree/optim_uuid_to_string_202501_x2

I also made a version that does not use ByteArrayLittleEndian, but the performance drops by 5% to 10%. By printing the igv file through PrintIdealGraph, I found that the RangeCheck of array access is not eliminated.

pr_22928_igv.zip

j3graham · 2025-04-08T18:04:43Z

Have you considered removing reverseBytes and using ByteArray instead of ByteArrayLittleEndian?

wenshao · 2025-04-10T05:57:19Z

Have you considered removing reverseBytes and using ByteArray instead of ByteArrayLittleEndian?

I tested it on a MacBook M1 Max, and the performance of using reverseBytes + ByteArrayLittleEndian is about 1% faster. Considering that most of us have little-endian machines, ByteArray.setInt/setLong also needs to do reverseBytes.

Doing reverseBytes in hex8 requires 4 Long.reverseBytes in a UUID.toString call. If using ByteArray, on a little-endian machine, a UUID.toString call requires 2 Long.reverseBytes and 4 Integer.reverseBytes.

bridgekeeper · 2025-05-08T05:58:32Z

@wenshao This pull request has been inactive for more than 4 weeks and will be automatically closed if another 4 weeks passes without any activity. To avoid this, simply issue a /touch or /keepalive command to the pull request. Feel free to ask for assistance if you need help with progressing this pull request towards integration!

RogerRiggs

Please update the performance comparisons (percentage improvement.)

RogerRiggs · 2025-05-19T18:30:20Z

src/java.base/share/classes/java/util/UUID.java

+     * Extract the least significant 4 bytes from the input integer i, convert each byte into its corresponding 2-digit
+     * hexadecimal representation, concatenate these hexadecimal strings into one continuous string, and then interpret
+     * this string as a hexadecimal number to form and return a long value.
+     */


Is there a reference describing this technique? Such as the Hacker's Delight citation used in java.lang.Long?
If not a longer descriptive comment would be good for maintainability.

This algorithm was researched and implemented by me, and I have added detailed description and comments

…ing_202501

wenshao · 2025-05-19T23:05:01Z

The latest performance test numbers show that under AMD X64, the performance is improved by about 21%, and under MacBook M1 Pro, the performance is improved by about 7%.

performance test scripts

git remote add wenshao git@github.com:wenshao/jdk.git
git fetch wenshao

# origin
git checkout bd99525633e4d3d3f180a6678eedb8780dbb6139
make test TEST="micro:java.util.UUIDBench.toString"

# current
git checkout 878a3cb7c73b777eb5385b3e4d158c998cd9be46
make test TEST="micro:java.util.UUIDBench.toString"

aliyun_ecs_c8a_x64 (CPU AMD EPYC™ Genoa)

-# origin  bd99525633e4d3d3f180a6678eedb8780dbb6139
-Benchmark           (size)   Mode  Cnt   Score   Error   Units
-UUIDBench.toString   20000  thrpt   15  93.320 ± 0.359  ops/us

+# current 878a3cb7c73b777eb5385b3e4d158c998cd9be46
+Benchmark           (size)   Mode  Cnt    Score   Error   Units
+UUIDBench.toString   20000  thrpt   15  113.508 ± 1.372  ops/us +21.63%

Apple MackBook M1 Pro

-# origin  bd99525633e4d3d3f180a6678eedb8780dbb6139
-Benchmark           (size)   Mode  Cnt    Score   Error   Units
-UUIDBench.toString   20000  thrpt   15  106.199 ± 0.568  ops/us

+# current 878a3cb7c73b777eb5385b3e4d158c998cd9be46
+Benchmark           (size)   Mode  Cnt    Score   Error   Units
+UUIDBench.toString   20000  thrpt   15  113.911 ± 0.628  ops/us +7.34%

RogerRiggs · 2025-05-20T19:51:14Z

src/java.base/share/classes/java/util/UUID.java

+     * Input:  0x0123456789ABCDEF
+     * Output: 0x3031323334353637 ('0','1','2','3','4','5','6','7' in ASCII)


Only the low 32 bits are used, the example only needs to show the input ox 0x0123457.
Or change the signature to accept an int.

Because the input of Long.expand is long, if the parameter is int, it will cause a redundant conversion process of long -> int -> long.

I think the issue is just the example input and output should be something like:

Input: 0xABCDEF01 Output: 0x3130666564636261

to demonstrate that it is the low-order bits that are used, as well as that the digit order is reversed in the result.

j3graham · 2025-05-21T00:27:11Z

src/java.base/share/classes/java/util/UUID.java

+     * @see Long#reverseBytes(long)
+     */
+    private static long hex8(long i) {
+        // Expand each 4-bit group into 8 bits, spreading them out in the long value: 0xAABBCCDD -> 0x0A0B0C0D0A0B0C0D


should be 0xAABBCCDD -> 0xA0A0B0B0C0C0D0D

j3graham · 2025-05-21T00:31:05Z

src/java.base/share/classes/java/util/UUID.java

+     * This method processes multiple digits in parallel by treating a long value as eight 8-bit lanes,
+     * achieving significantly better performance compared to traditional loop-based conversion.
+     *
+     * <p>The conversion algorithm works as follows:


I think the in-line comment describing the algorithm is enough - doesn't need the details in the javadoc as well.

j3graham · 2025-05-21T00:35:16Z

src/java.base/share/classes/java/util/UUID.java

-        HexDigits.put4(buf, 24, i2);
-        HexDigits.put4(buf, 28, i3 >> 16);
-        HexDigits.put4(buf, 32, i3);
+


I would suggest a comment here along the lines of "Although the UUID byte ordering is defined to be big-endian, ByteArrayLittleEndian is used here to optimize for the most common architectures. hex8 reverses the order internally."

RogerRiggs

Looks good. Thanks for the detailed comments and vectorized hex to string conversion.

wenshao · 2025-05-22T23:34:26Z

/integrate

openjdk · 2025-05-22T23:35:16Z

Going to push as commit 796ec5e.
Since your change was applied there have been 71 commits pushed to the master branch:

fdda766: 8356814: LineBreakMeasurer.nextLayout() slower than necessary when no break needed
139a05d: 8357176: java.awt javadoc code examples still use Applet API
b1b786a: 8357402: Crash in AdapterHandlerLibrary::lookup
... and 68 more: https://git.openjdk.org/jdk/compare/bd99525633e4d3d3f180a6678eedb8780dbb6139...master

Your commit was automatically rebased without conflicts.

openjdk · 2025-05-22T23:35:24Z

@wenshao Pushed as commit 796ec5e.

💡 You may see a message that your pull request was closed with unmerged commits. This can be safely ignored.

openjdk bot added the merge-conflict Pull request has merge conflict with target branch label Jan 6, 2025

openjdk bot added the core-libs core-libs-dev@openjdk.org label Jan 6, 2025

wenshao marked this pull request as draft January 6, 2025 14:06

vector uuid toString

b550366

wenshao force-pushed the optim_uuid_to_string_202501 branch from f2db2ca to b550366 Compare January 6, 2025 14:28

openjdk bot removed the merge-conflict Pull request has merge conflict with target branch label Jan 6, 2025

bug fix

266a9d8

wenshao marked this pull request as ready for review January 6, 2025 22:51

wenshao added 5 commits January 7, 2025 07:32

refactor

63851e2

Remove unnecessary steps

010ab70

manual expand

2ee96c2

little endian

a96cad9

ues Long.expand

f7ac21a

wenshao mentioned this pull request Jan 8, 2025

8359424: Eliminate table lookup in Integer/Long toHexString #22942

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wenshao added 2 commits January 9, 2025 07:28

use ByteArrayLittleEndian

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refactor

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wenshao added 2 commits April 5, 2025 00:48

Remove redundant comments

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wenshao changed the title ~~8353741: Improve UUID.toString performance by using SIMD within a register instead of table lookup~~ 8353741: Eliminate table lookup in UUID.toString May 2, 2025

RogerRiggs reviewed May 19, 2025

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Merge remote-tracking branch 'upstream/master' into optim_uuid_to_str…

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…ing_202501

wenshao added 2 commits May 20, 2025 07:31

hex8 comments

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wenshao added 3 commits May 21, 2025 08:46

fix comments, from @j3graham

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		* Input: 0x0123456789ABCDEF
		* Output: 0x3031323334353637 ('0','1','2','3','4','5','6','7' in ASCII)

8353741: Eliminate table lookup in UUID.toString #22928

8353741: Eliminate table lookup in UUID.toString #22928

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1. Script

2. aliyun_ecs_c8a_x64 (CPU AMD EPYC™ Genoa)

3. aliyun_ecs_c8i_x64 (CPU Intel®Xeon®Emerald Rapids)

4. aliyun_ecs_c8y_aarch64 (CPU Aliyun Yitian 710)

5. MacBook M1 Pro (aarch64)

6. orange_pi5_aarch64 (CPU RK3588S)

7. orange_aipro_aarch64 (CPU TAISHANV200M)

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1. Script

2. aliyun_ecs_c8a_x64 (CPU AMD EPYC™ Genoa)

3. aliyun_ecs_c8i_x64 (CPU Intel®Xeon®Emerald Rapids)

4. aliyun_ecs_c8y_aarch64 (CPU Aliyun Yitian 710)

5. MacBook M1 Pro (aarch64)

6. orange_pi5_aarch64 (CPU RK3588S)

7. orange_aipro_aarch64 (CPU TAISHANV200M)

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performance test scripts

aliyun_ecs_c8a_x64 (CPU AMD EPYC™ Genoa)

Apple MackBook M1 Pro

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