Vector Operations

Overview

Icicle exposes a number of vector operations which a user can use:

• The VecOps API provides efficient vector operations such as addition, subtraction, and multiplication.
• MatrixTranspose API allows a user to perform a transpose on a vector representation of a matrix

VecOps API Documentation

Example

Vector addition

package main

import (
	"github.com/ingonyama-zk/icicle/v2/wrappers/golang/core"
	cr "github.com/ingonyama-zk/icicle/v2/wrappers/golang/cuda_runtime"
	bn254 "github.com/ingonyama-zk/icicle/v2/wrappers/golang/curves/bn254"
)

func main() {
	testSize := 1 << 12
	a := bn254.GenerateScalars(testSize)
	b := bn254.GenerateScalars(testSize)
	out := make(core.HostSlice[bn254.ScalarField], testSize)
	cfg := core.DefaultVecOpsConfig()

	// Perform vector multiplication
	err := bn254.VecOp(a, b, out, cfg, core.Add)
	if err != cr.CudaSuccess {
		panic("Vector addition failed")
	}
}

Vector Subtraction

package main

import (
	"github.com/ingonyama-zk/icicle/v2/wrappers/golang/core"
	cr "github.com/ingonyama-zk/icicle/v2/wrappers/golang/cuda_runtime"
	bn254 "github.com/ingonyama-zk/icicle/v2/wrappers/golang/curves/bn254"
)

func main() {
	testSize := 1 << 12
	a := bn254.GenerateScalars(testSize)
	b := bn254.GenerateScalars(testSize)
	out := make(core.HostSlice[bn254.ScalarField], testSize)
	cfg := core.DefaultVecOpsConfig()

	// Perform vector multiplication
	err := bn254.VecOp(a, b, out, cfg, core.Sub)
	if err != cr.CudaSuccess {
		panic("Vector subtraction failed")
	}
}

Vector Multiplication

package main

import (
	"github.com/ingonyama-zk/icicle/v2/wrappers/golang/core"
	cr "github.com/ingonyama-zk/icicle/v2/wrappers/golang/cuda_runtime"
	bn254 "github.com/ingonyama-zk/icicle/v2/wrappers/golang/curves/bn254"
)

func main() {
	testSize := 1 << 12
	a := bn254.GenerateScalars(testSize)
	b := bn254.GenerateScalars(testSize)
	out := make(core.HostSlice[bn254.ScalarField], testSize)
	cfg := core.DefaultVecOpsConfig()

	// Perform vector multiplication
	err := bn254.VecOp(a, b, out, cfg, core.Mul)
	if err != cr.CudaSuccess {
		panic("Vector multiplication failed")
	}
}

VecOps Method

func VecOp(a, b, out core.HostOrDeviceSlice, config core.VecOpsConfig, op core.VecOps) (ret cr.CudaError)

Parameters

• a: The first input vector.
• b: The second input vector.
• out: The output vector where the result of the operation will be stored.
• config: A VecOpsConfig object containing various configuration options for the vector operations.
• op: The operation to perform, specified as one of the constants (Sub, Add, Mul) from the VecOps type.

Return Value

• CudaError: Returns a CUDA error code indicating the success or failure of the vector operation.

VecOpsConfig

The VecOpsConfig structure holds configuration parameters for the vector operations, allowing customization of its behavior.

type VecOpsConfig struct {
    Ctx cr.DeviceContext
    isAOnDevice bool
    isBOnDevice bool
    isResultOnDevice bool
    IsAsync bool
}

Fields

• Ctx: Device context containing details like device ID and stream ID.
• isAOnDevice: Indicates if vector a is located on the device.
• isBOnDevice: Indicates if vector b is located on the device.
• isResultOnDevice: Specifies where the result vector should be stored (device or host memory).
• IsAsync: Controls whether the vector operation runs asynchronously.

Default Configuration

Use DefaultVecOpsConfig to obtain a default configuration, customizable as needed.

func DefaultVecOpsConfig() VecOpsConfig

MatrixTranspose API Documentation

This section describes the functionality of the TransposeMatrix function used for matrix transposition.

The function takes a matrix represented as a 1D slice and transposes it, storing the result in another 1D slice.

Function

func TransposeMatrix(in, out core.HostOrDeviceSlice, columnSize, rowSize int, ctx cr.DeviceContext, onDevice, isAsync bool) (ret core.IcicleError)

Parameters

• in: The input matrix is a core.HostOrDeviceSlice, stored as a 1D slice.
• out: The output matrix is a core.HostOrDeviceSlice, which will be the transpose of the input matrix, stored as a 1D slice.
• columnSize: The number of columns in the input matrix.
• rowSize: The number of rows in the input matrix.
• ctx: The device context cr.DeviceContext to be used for the matrix transpose operation.
• onDevice: Indicates whether the input and output slices are stored on the device (GPU) or the host (CPU).
• isAsync: Indicates whether the matrix transpose operation should be executed asynchronously.

Return Value

The function returns a core.IcicleError value, which represents the result of the matrix transpose operation. If the operation is successful, the returned value will be 0.

Example Usage

var input = make(core.HostSlice[ScalarField], 20)
var output = make(core.HostSlice[ScalarField], 20)

// Populate the input matrix
// ...

// Get device context
ctx, _ := cr.GetDefaultDeviceContext()

// Transpose the matrix
err := TransposeMatrix(input, output, 5, 4, ctx, false, false)
if err.IcicleErrorCode != core.IcicleErrorCode(0) {
    // Handle the error
}

// Use the transposed matrix
// ...

In this example, the TransposeMatrix function is used to transpose a 5x4 matrix stored in a 1D slice. The input and output slices are stored on the host (CPU), and the operation is executed synchronously.