[wasm] Add new simple benchmark sample

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

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Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

[ghost]

Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

[ghost]

Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

[ghost]

Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

[ghost]

Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

[ghost]

Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

[ghost]

Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-

[radekdoulik]

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Exceptions, TryCatch	0.0107us
Exceptions, TryCatchThrow	0.0064ms
Exceptions, TryCatchFilter	0.1136us
Json, non-ASCII text serialize	1.2292ms
Json, non-ASCII text deserialize	5.2554ms
Json, small serialize	0.1928ms
Json, small deserialize	0.2262ms
Json, large serialize	51.0495ms
Json, large deserialize	60.6860ms

[ghost]

Tagging subscribers to this area: @CoffeeFlux
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	area-VM-meta-mono
Milestone:	-

[ghost]

Tagging subscribers to 'arch-wasm': @lewing
See info in area-owners.md if you want to be subscribed.

Issue Details

---

The sample can be used for quick benchmarking when working
on performance improvements.

It runs the measurements per approximate time (default 5 seconds) and
reports number of runs and time per call.

At the end of run, output summary with lowest times per call and also
.md table to make it easier to put resutls to github comments.

So far it contains Json [de]serialization I was using recently.
The Person class comes from Blazor benchmark.

Example .md output:

measurement	time
Json, non-ASCII text serialize	8.2941ms
Json, non-ASCII text deserialize	11.6508ms
Json, small serialize	0.2436ms
Json, small deserialize	0.3731ms
Json, large serialize	69.4267ms
Json, large deserialize	102.4038ms

Author:	radekdoulik
Assignees:	-
Labels:	arch-wasm
Milestone:	-