Benchmark: number vs bigint left shift

Tests:

number
for (let i = 31; i--;) { 1 << i }
bigint
for (let i = 31n; i--;) { 1n << i }
bigint (large)
for (let i = 10031n; (i--) - 10000n;) { 1n << i }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
number
bigint
bigint (large)

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's dive into the explanation of the provided benchmark.

**Benchmark Definition**

The provided JSON represents a benchmark definition, which is a set of instructions that define how to execute a specific test case. In this case, there are three test cases:

1. `number`: This test case executes the JavaScript code "for (let i = 31; i--;) { 1 << i }".
2. `bigint`: This test case executes the JavaScript code "for (let i = 31n; i--;) { 1n << i }".
3. `bigint (large)`: This test case executes the JavaScript code "for (let i = 10031n; (i--) - 10000n;) { 1n << i }".

**Options Compared**

In this benchmark, two options are compared:

* **Number vs BigInt Left Shift**: The first test case compares the execution speed of a left shift operation using regular numbers (`number`) with a left shift operation using BigInt (`bigint`). In JavaScript, `BigInt` is a 128-bit integer type that can handle arbitrarily large integers.
* **Left Shift with Large Values**: The second and third test cases compare the execution speed of a left shift operation using BigInt with large values (`bigint (large)`).

**Pros and Cons**

1. **Number vs BigInt Left Shift**:
	* Pros: Using regular numbers is generally faster than using BigInt, as it doesn't require additional memory or computation to handle large integers.
	* Cons: This approach may not be suitable for applications that require handling very large integers.
2. **Left Shift with Large Values (BigInt)**:
	* Pros: Using BigInt allows for handling arbitrarily large integers, which is useful in various applications such as cryptography and scientific computing.
	* Cons: Performing left shift operations on large values can be slower than using regular numbers due to the additional memory and computation required.

**Library**

None of the test cases use any external libraries. The benchmark only relies on JavaScript's built-in features.

**Special JS Feature or Syntax**

There is no special JavaScript feature or syntax used in these test cases, apart from the use of BigInt, which is a relatively new addition to the JavaScript language (introduced in ECMAScript 2015).

**Other Alternatives**

If you want to explore alternative approaches, you could consider:

* Using other programming languages or frameworks that support arbitrary-precision arithmetic, such as Python's `decimal` module or Java's `BigInteger`.
* Optimizing the benchmark code for specific use cases, such as using SIMD instructions (Single Instruction, Multiple Data) or parallel processing.
* Using different hardware or software configurations to compare performance under varying conditions.

Keep in mind that these alternatives might not be directly comparable to the JavaScript benchmark, but they could provide valuable insights into optimizing arithmetic operations in different languages and environments.

Related benchmarks:

number vs bigint left shift (version: 0)

Comparing performance of: number vs bigint vs bigint (large)

Created: 3 years ago by: Guest

Jump to the latest result

number

bigint

bigint (large)

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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