Benchmark: one add vs multi add 2

Script Preparation code:

var a = 0
var b = 0
var c = 0

Tests:

1 add
a += 1
3 add
b += 1 b += 1 b += 1
10 add
b += 1 b += 1 b += 1 b += 1 b += 1 b += 1 b += 1 b += 1 b += 1 b += 1

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1 add
3 add
10 add

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

I'll break down the explanation of what's being tested, compared options, and other considerations for the provided benchmark.

**What is being tested?**

The benchmark tests how efficiently JavaScript interpreters can perform addition operations with different numbers of additions. Specifically, it compares three test cases:

1. "1 add" - Adding a single value to `a` (0)
2. "3 add" - Adding 3 values in sequence to `b` (0) without reassigning the variable
3. "10 add" - Adding 10 values in sequence to `b` (0) without reassigning the variable

**Comparison options:**

The benchmark compares three different approaches:

1. **Single addition**: Performing a single addition operation, as specified in the "1 add" test case.
2. **Multi-addition**: Performing multiple addition operations in sequence, with no reassignment of the variable `b` (as seen in the "3 add" and "10 add" test cases).
3. **No optimization**: This option is not explicitly mentioned in the provided benchmark, but it's likely being tested to ensure that the interpreter can handle simple arithmetic operations correctly.

**Pros and cons of each approach:**

1. **Single addition**: Simplest form of addition operation. Pros: easy to understand and implement. Cons: may lead to inefficient execution due to unnecessary reassignments.
2. **Multi-addition**: Forces the interpreter to perform multiple additions in sequence, which can be more efficient if optimized correctly. Pros: potentially leads to better performance. Cons: requires careful handling of variable assignments to avoid reassignment.
3. **No optimization**: Serves as a baseline for testing the interpreter's basic arithmetic capabilities. Pros: ensures consistency across interpreters. Cons: likely less efficient than optimized approaches.

**Library usage:**

The benchmark uses JavaScript's built-in `+=` operator, which is an assignment operation that modifies the variable on the left-hand side of the assignment. The `+=` operator is used to add values to variables in each test case.

**Special JS feature or syntax:**

None mentioned explicitly in the provided benchmark.

**Other considerations:**

* **Loop unrolling**: Some JavaScript interpreters might perform loop unrolling for performance optimizations, which could affect the results.
* **Garbage collection**: The interpreter's garbage collector may impact performance, especially if the test cases involve large numbers of additions.
* **Cache locality**: The order in which variables are accessed can affect cache locality and memory access patterns.

**Alternatives:**

Other benchmarking alternatives might include:

1. Math operations (e.g., addition with floating-point numbers or integers)
2. Array operations (e.g., pushing elements to an array or finding the maximum value)
3. Object operations (e.g., accessing properties of an object or performing string concatenation)

Keep in mind that each alternative would require its own set of test cases and considerations to ensure accurate results.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

Browser/OS: Chrome 120 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
1 add	13385044.0 Ops/sec
3 add	4353831.0 Ops/sec
10 add	1329598.2 Ops/sec

Related benchmarks:

one add vs multi add 2 (version: 1)

Comparing performance of: 1 add vs 3 add vs 10 add

Created: one year ago by: Registered User

Jump to the latest result

1 add

3 add

10 add

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):