并发读取大文件的解决方法可以使用多线程或者异步IO来实现。下面分别给出这两种方法的代码示例：

1. 多线程实现并发读取大文件：

import threading

def read_file(file_path):
    with open(file_path, 'r') as file:
        content = file.read()
        print(content)

def concurrent_read_files(file_paths):
    threads = []
    for file_path in file_paths:
        thread = threading.Thread(target=read_file, args=(file_path,))
        thread.start()
        threads.append(thread)

    for thread in threads:
        thread.join()

# 使用示例
file_paths = ['file1.txt', 'file2.txt', 'file3.txt']
concurrent_read_files(file_paths)

2. 异步IO实现并发读取大文件：

import asyncio

async def read_file(file_path):
    with open(file_path, 'r') as file:
        content = file.read()
        print(content)

async def concurrent_read_files(file_paths):
    tasks = []
    for file_path in file_paths:
        task = asyncio.create_task(read_file(file_path))
        tasks.append(task)

    await asyncio.gather(*tasks)

# 使用示例
file_paths = ['file1.txt', 'file2.txt', 'file3.txt']
asyncio.run(concurrent_read_files(file_paths))

这两种方法都可以实现并发读取大文件，多线程适合IO密集型任务，而异步IO适合高并发的IO操作。根据具体的需求和场景选择合适的方法。