horzcat — Concatenate arrays horizontally in MATLAB and RunMat.
horzcat(A1, A2, ...) concatenates inputs along dimension 2, matching MATLAB square-bracket syntax [A1 A2 ...]. Size compatibility and type coercion follow MATLAB semantics.
Syntax
B = horzcat()
B = horzcat(A1, An...)Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
A1 | Any | Yes | — | First input array. |
An | Any | Variadic | — | Additional input arrays. |
Returns
| Name | Type | Description |
|---|---|---|
B | Any | Horizontally concatenated result (dimension 2). |
Errors
| Identifier | When | Message |
|---|---|---|
RunMat:horzcat:InvalidInput | Inputs are malformed or incompatible for horizontal concatenation. | horzcat: invalid input arguments |
RunMat:horzcat:TypeMismatch | Input classes cannot be concatenated together. | horzcat: incompatible input classes for concatenation |
How horzcat works
- Operates on numeric, logical, complex, character, string, and cell arrays with MATLAB-compatible type checking.
- All inputs must have the same number of rows (dimension 1). Higher dimensions are padded with singleton sizes where necessary.
- Scalars act as
1×1building blocks, sohorzcat(1, 2, 3)produces the row vector[1 2 3]. - Empty inputs participate naturally. If every operand is empty, the result is the canonical
0×0double. - When the trailing
'like', prototypepair is supplied, the output matches the prototype's residency (host or GPU) and numeric category. - Mixing
gpuArrayoperands with host operands is an error—convert explicitly usinggpuArrayorgather.
Does RunMat run horzcat on the GPU?
horzcat delegates to cat(dim = 2, …). When the active acceleration provider implements the cat hook, the concatenation is executed directly on the GPU without staging data back to the CPU. Providers that lack this hook fall back to gathering the operands, concatenating on the host, and uploading the result so downstream code still sees a gpuArray. This mirrors MATLAB's explicit GPU workflow while keeping RunMat's auto-offload planner informed.
Examples
Concatenating matrices by columns
A = [1 2; 3 4];
B = [10 20; 30 40];
C = horzcat(A, B)Expected output:
C =
1 2 10 20
3 4 30 40Building a row vector from scalars
row = horzcat(1, 2, 3, 4)Expected output:
row = [1 2 3 4]Extending character arrays into words
lhs = ['Run' ; 'GPU'];
rhs = ['Mat' ; 'Fun'];
words = horzcat(lhs, rhs)Expected output:
words =
RunMat
GPUFunKeeping gpuArray inputs resident on the device
G1 = gpuArray(rand(256, 128));
G2 = gpuArray(rand(256, 64));
wide = horzcat(G1, G2)Preserving empties when all inputs are empty
emptyBlock = zeros(0, 3);
result = horzcat(emptyBlock, emptyBlock)Matching an output prototype with the 'like' syntax
proto = gpuArray.zeros(5, 1);
combo = horzcat(ones(5, 1), zeros(5, 1), "like", proto)Using horzcat with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how horzcat changes the result.
Run a small horzcat example, explain the result, then change one input and compare the output.
Related Array functions
Shape
cat · circshift · diag · flip · fliplr · flipud · ipermute · kron · permute · repelem · repmat · reshape · rot90 · squeeze · tril · triu · vertcat
Open-source implementation
Unlike proprietary runtimes, every RunMat function is open-source. Read exactly how horzcat is executed, line by line, in Rust.
- View the source for horzcat in Rust on GitHub
- Learn how the RunMat runtime works
- Found a bug? Open an issue with a minimal reproduction.
About RunMat
RunMat is an open-source runtime that executes MATLAB-syntax code blazing on any GPU. It is licensed under the Apache 2.0 license.
- RunMat automatically optimizes your math for GPU execution on Apple, Nvidia, and AMD hardware. No code changes needed. Simulations that took hours now take minutes.
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