Interactive Comparison
Language Benchmark
Compare Joule's energy efficiency against other programming languages. See equivalent code side-by-side and benchmark performance.
Python consumes up to 75x more energy than C for equivalent computations
Rust achieves energy efficiency within 3% of C while providing memory safety
Projected data center energy consumption by 2026 (IEA)
Execution Environment
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Select Benchmark
Recursive Fibonacci (n=30) - Tests CPU computation and function call overhead
Select Languages (6 selected)
Systems
JVM/.NET
Mobile/Modern
Functional
Scripting
Scientific
WASM-First
// Joule - Energy-efficient Fibonacci
#[energy_budget(max_joules = 0.001)]
fn fib(n: i32) -> i32 {
if n <= 1 { n }
else { fib(n - 1) + fib(n - 2) }
}
fn main() -> i32 { fib(30) }// Rust - Memory-safe Fibonacci
fn fib(n: i32) -> i32 {
if n <= 1 { n }
else { fib(n - 1) + fib(n - 2) }
}
fn main() { println!("{}", fib(30)); }// C - Manual memory management
#include <stdio.h>
int fib(int n) {
if (n <= 1) return n;
return fib(n - 1) + fib(n - 2);
}
int main() { printf("%d\n", fib(30)); }# Python - Interpreted
def fib(n):
if n <= 1: return n
return fib(n - 1) + fib(n - 2)
print(fib(30))// Java - Enterprise standard
public class Fib {
static int fib(int n) {
if (n <= 1) return n;
return fib(n - 1) + fib(n - 2);
}
public static void main(String[] args) {
System.out.println(fib(30));
}
}// Go - Garbage-collected
package main
import "fmt"
func fib(n int) int {
if n <= 1 { return n }
return fib(n-1) + fib(n-2)
}
func main() { fmt.Println(fib(30)) }Research Background
The energy efficiency data is based on peer-reviewed research comparing programming languages across standardized benchmarks. Key findings:
- ✓ Compiled languages (C, Rust, Joule) are significantly more energy-efficient than interpreted languages
- ✓ Garbage collection adds 5-25% energy overhead depending on allocation patterns
- ✓ Memory access patterns (cache efficiency) have ~100x impact on energy consumption
- ✓ Joule's energy budgets enable compile-time verification of energy constraints
Citation: Pereira, R., et al. (2017). "Energy Efficiency across Programming Languages." Proceedings of the 10th ACM SIGPLAN International Conference on Software Language Engineering.