java如何监控GPU信息

最近想实现一个用java监控GPU的使用情况，但是java没有直接提供相关的api,在网上搜了好多帖子，最终参考了一篇实现了相关功能：参考文献
下面展示整个实现过程

package com.zyh.auto_tool.business.util;

import com.zyh.auto_tool.business.SystemTest.GpuInfo;
import com.zyh.auto_tool.business.execption.BizException;
import lombok.extern.slf4j.Slf4j;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.List;
/**
 * @author  Jdb
 * @date  2022/1/21 16:00
 * @desc
 */
@Slf4j
public class GetGpu {
    public static List getGPUUsagePercentage() throws IOException {
        Process process = null;
        try {
            if (JudgeSystem.isWindows()){
                long l = System.currentTimeMillis();
                process = Runtime.getRuntime().exec("nvidia-smi.exe");
                long l1 = System.currentTimeMillis();
                log.info("Java调用程序耗时：{}毫秒",l1-l);
            }else if (JudgeSystem.isLinux()){
                String[] shell = {"/bin/bash", "-c", "nvidia-smi"};
                process = Runtime.getRuntime().exec(shell);
            }else {
                throw new BizException(9999,"不在系统支持范围内");
            }
            process.getOutputStream().close();
        } catch (Exception e) {
            e.printStackTrace();
        }
        BufferedReader reader = new BufferedReader(new InputStreamReader(process.getInputStream()));
        StringBuffer stringBuffer = new StringBuffer();
        String line = "";
        while (null != (line = reader.readLine())) {
            stringBuffer.append(line + "\n");
        }
        String gpus = null ;
        gpus = stringBuffer.toString();
        //分割废物信息
        String[] split = gpus.split("\\|===============================\\+======================\\+======================\\|");
        String[] gpusInfo = split[1].split("                                                                               ");
        // 分割多个gpu
        String[] gpuInfo = gpusInfo[0].split("\\+-------------------------------\\+----------------------\\+----------------------\\+");
        List gpuInfoList = new ArrayList<>();
        for (int i = 0; i < gpuInfo.length - 1; i++) {
            GpuInfo gpuInfo1 = new GpuInfo();
            String[] nameAndInfo = gpuInfo[i].split("\n");
            //只要第二块的数据
            String[] split1 = nameAndInfo[1].split("\\|")[1] // 0  TITAN V             Off
                    .split("\\s+");//去空格
            gpuInfo1.setNumber(Integer.parseInt(split1[1]));
            StringBuffer name = new StringBuffer();
            for (int j = 0; j < split1.length - 1; j++) {
                if (j > 1 && j != split1.length) {
                    name.append(split1[j] + " ");
                }
            }
            gpuInfo1.setName(name.toString());
            String[] info = nameAndInfo[2].split("\\|")[2].split("\\s+");
            gpuInfo1.setUsedMemory(info[1]);
            gpuInfo1.setTotalMemory(info[3]);
            int useable = Integer.parseInt(gpuInfo1.getTotalMemory().split("MiB")[0]) - Integer.parseInt(gpuInfo1.getUsedMemory().split("MiB")[0]);
            gpuInfo1.setUseAbleMemory(useable + "MiB");
            Double usageRate = Integer.parseInt(gpuInfo1.getUsedMemory().split("MiB")[0]) * 100.00 / Integer.parseInt(gpuInfo1.getTotalMemory().split("MiB")[0]);
            gpuInfo1.setUsageRate(usageRate);
            gpuInfoList.add(gpuInfo1);

        }
        return gpuInfoList;

    }

    public static void main(String[] args) throws IOException {
        System.out.println(getGPUUsagePercentage());
    }
}

package com.zyh.auto_tool.business.util;

import org.springframework.stereotype.Component;

/**
 * @author  Jdb
 * @date  2022/1/21 15:31
 * @desc
 */
@Component
public class JudgeSystem {

    public static boolean isWindows(){
        return System.getProperty("os.name").toLowerCase().contains("windows");
    }

    public static boolean isLinux(){
        return System.getProperty("os.name").toLowerCase().contains("linux");
    }
}

package com.zyh.auto_tool.business.SystemTest;

import io.swagger.annotations.ApiModelProperty;
import lombok.Data;

/**
 * @author  Jdb
 * @date  2022/1/21 15:59
 * @desc
 */
@Data
public class GpuInfo {

    @ApiModelProperty("GPU编号")
    private Integer number;

    @ApiModelProperty("显卡名称")
    private String name;

    @ApiModelProperty("总内存")
    private String totalMemory;

    @ApiModelProperty("使用内存")
    private String usedMemory;

    @ApiModelProperty("可用内存")
    private String useAbleMemory;

    @ApiModelProperty("使用率")
    private Double usageRate;
}

其实现原理，最终还是通过java去调用c语言程序Runtime.getRuntime().exec(“nvidia-smi.exe”);
故监控硬件相关信息，还是通过C语言比较方便。