Want to get rid of high ping, packet loss, spikes, and jitters?
Here we are! As your game network guardian,
GearUP will never let a poor internet connection
stop your thrill gaming.
TRY FOR FREE!
Thousands of games on all platforms are at your disposal - with regular content updates!
GearUP enhances connectivity and stability with our exclusive 'Adaptive Intelligent Routing' (AIR) technology.
How it works
No matter where you are and which server you are connected to, GearUP guarantees you the best gaming network at all times.
Besides PC, GearUP also supports other platforms: mobile (Android/iOS) and Console (PlayStations/Switch/Xbox/Oculus Quest/Pico). We are committed to providing the best gaming-boosting service for every device!
Here’s a useful story about — a fictional but practical example of how someone might use Zig to build an Android package. The Story: Speeding Up a Mobile Game with Zig Meet Arjun , an indie game developer. He’d built a 2D puzzle game for Android using Unity, but the game had a problem: on older devices, the physics and tile rendering lagged badly. Profiling showed the bottleneck was a custom image-processing filter written in Java — too slow for real-time use.
Arjun knew he could write that filter in C or C++ and call it via JNI (Java Native Interface). But setting up the NDK with CMake or Makefiles felt cumbersome, and he didn’t want to manage header files and build scripts for a small project. He remembered hearing about Zig — a systems programming language that can compile to native code and also cross-compile to Android (ARM, ARM64, x86) without a complex toolchain. Zig can produce .so (shared object) files that Android’s JNI can load. The Solution Arjun wrote the image filter in Zig: zig apk
init { System.loadLibrary("filter") } private external fun apply_grayscale(pixels: ByteArray, len: Int) Here’s a useful story about — a fictional
// filter.zig export fn apply_grayscale(pixels: [*]u8, len: usize) void { var i: usize = 0; while (i < len) i += 4 : { const r = pixels[i]; const g = pixels[i+1]; const b = pixels[i+2]; const gray = @as(u8, (0.299 * @as(f32, r) + 0.587 * @as(f32, g) + 0.114 * @as(f32, b))); pixels[i] = gray; pixels[i+1] = gray; pixels[i+2] = gray; } } Then he compiled for Android (ARM64) with a single command: He remembered hearing about Zig — a systems
zig build-lib -target aarch64-linux-android -dynamic filter.zig This produced libfilter.so . No cross-compilation toolchain installation, no Android NDK setup — just Zig. He placed the .so into app/src/main/jniLibs/arm64-v8a/ . In his Android app (Kotlin), he loaded it:
Enjoy your low-ping gaming NOW!
GearUP for WindowsHere’s a useful story about — a fictional but practical example of how someone might use Zig to build an Android package. The Story: Speeding Up a Mobile Game with Zig Meet Arjun , an indie game developer. He’d built a 2D puzzle game for Android using Unity, but the game had a problem: on older devices, the physics and tile rendering lagged badly. Profiling showed the bottleneck was a custom image-processing filter written in Java — too slow for real-time use.
Arjun knew he could write that filter in C or C++ and call it via JNI (Java Native Interface). But setting up the NDK with CMake or Makefiles felt cumbersome, and he didn’t want to manage header files and build scripts for a small project. He remembered hearing about Zig — a systems programming language that can compile to native code and also cross-compile to Android (ARM, ARM64, x86) without a complex toolchain. Zig can produce .so (shared object) files that Android’s JNI can load. The Solution Arjun wrote the image filter in Zig:
init { System.loadLibrary("filter") } private external fun apply_grayscale(pixels: ByteArray, len: Int)
// filter.zig export fn apply_grayscale(pixels: [*]u8, len: usize) void { var i: usize = 0; while (i < len) i += 4 : { const r = pixels[i]; const g = pixels[i+1]; const b = pixels[i+2]; const gray = @as(u8, (0.299 * @as(f32, r) + 0.587 * @as(f32, g) + 0.114 * @as(f32, b))); pixels[i] = gray; pixels[i+1] = gray; pixels[i+2] = gray; } } Then he compiled for Android (ARM64) with a single command:
zig build-lib -target aarch64-linux-android -dynamic filter.zig This produced libfilter.so . No cross-compilation toolchain installation, no Android NDK setup — just Zig. He placed the .so into app/src/main/jniLibs/arm64-v8a/ . In his Android app (Kotlin), he loaded it:
