Eclexia is a programming language designed for sustainable computing - minimizing energy consumption, maximizing hardware longevity, and reducing environmental impact.
Eclexia is implemented in Zig and V (NOT Ada/SPARK):
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Zig: Compiler backend, memory management, low-level runtime
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V: Frontend, type checker, high-level runtime
-- Specify energy budget for operations
@energy_budget(100mJ)
fn process_batch(data: [Record]) -> [Result]:
-- Compiler ensures operation fits budget
data.map(|r| transform(r))
-- Low-power mode variants
@low_power
fn background_task() -> ():
-- Uses energy-efficient algorithms-- Track carbon footprint
fn main() -> ():
@track_carbon
let result = compute_intensive_task()
print("Carbon: ", carbon_footprint())
print("Energy: ", energy_consumed())// src/compiler/backend.zig
const std = @import("std");
pub const EnergyOptimizer = struct {
budget_mj: u64,
current_usage: u64,
pub fn optimize(self: *EnergyOptimizer, ir: *IR) !void {
try self.selectEfficientOps(ir);
try self.minimizeMemoryAccess(ir);
}
};// src/frontend/parser.v
module parser
struct EclexiaParser {
tokens []Token
pos int
}
fn (mut p EclexiaParser) parse_energy_annotation() ?EnergyBudget {
if p.current().kind == .at {
return p.parse_annotation()
}
return none
}# Install
guix install eclexia
# Or build from source
git clone https://github.com/hyperpolymath/eclexia
cd eclexia/backend && zig build
cd eclexia/frontend && v .-
examples/energy-aware/- Energy-optimized algorithms -
examples/hardware-friendly/- Hardware longevity patterns -
examples/carbon-tracking/- Carbon footprint monitoring
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Compute only what’s needed
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Preserve hardware lifespan
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Measure environmental impact
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Degrade gracefully under constraints