With the popularity of the super-computing Internet, the era of computing power has really come. The arrival of AIGC and large models has accelerated the pace of application-oriented development involution and even being abandoned by the times. In the future, what kind of development will be considered promising and not easily replaced?
High-performance computing is undoubtedly one of the best employment options at the moment: the technology is low-level, there is a certain learning threshold, and it is not easy to be replaced. If you want to find high-performance computing-related jobs by teaching yourself high-performance computing. As the first institution in China that focuses on high-performance computing talent training and talent recommendation, I would like to give you the following suggestions
Identify career goals: Identify the high-performance computing field and related positions you want to work in. High-performance computing is used in a wide range of fields, including scientific research, engineering, finance, and medicine. Understand the needs and development trends of different fields, and choose the direction that suits your interests and background.
1 As long as it is computing-intensive software, HPC engineers are bound to be required. Recent hot industries and technical fields include deep learning, computer vision, natural language processing, autonomous driving, AI for Science, Metaverse, AR, VR, as well as traditional HPC fields, such as weather, finance, military simulation and computing. The demand in these industries and fields is very large, and it is in line with the general trend of my country's economic development, and the demand will further increase in the future.
2 In order to provide computing power for the above fields, many chip companies have emerged in recent years and have developed many new architectures or microarchitectures. New chips need to build supporting software to improve the software ecosystem. This process also requires the participation of a large number of HPC engineers. As my country's investment in the chip field is increasing, chip companies' demand for HPC engineers will also increase.
Build a solid foundation of knowledge: acquire the fundamentals of high-performance computing through self-study, including computer architecture, parallel computing models, algorithm optimization, etc. Ensure a solid understanding of these fundamentals by reading classic textbooks, taking online courses, or referring to academic papers.
You need to learn parallel computing technologies such as CPU and GPU, and through in-depth understanding and continuous practice, you can reach the level of employment. At present, there are relatively few technologies and learning resources related to high-performance computing in China, which poses certain challenges for self-study. You can turn to the Internet or related books to learn the principles, and obtain relevant experimental resources through various sources such as supercomputing centers.
If you want to systematically study high-performance computing,
Practice and gain project experience: put into practice what you have learned by solving real problems and participating in relevant projects. This can include writing parallel programs, optimizing algorithm performance, participating in open source projects, or building small projects yourself. Through practice, you not only consolidate your knowledge, but also demonstrate your practical abilities and problem-solving skills.
Here, Yuancode Technology (https://www.ydma.com) has prepared a high-performance computing training course for you, covering CPU, GPU and supercomputing operation and maintenance. Among them, the ape code - high performance computing from novice to master series courses (parallel optimization of CPU and GPU) is especially recommended
This is a high-performance computing special course jointly developed by experts from top domestic scientific research institutes and engineers from well-known enterprises. Wei et al. You will have the opportunity to learn what you have learned through engineering practical projects, and cooperate and learn closely with top domestic experts and engineers.
Build professional networks: Get involved in HPC learning communities and forums to network and network with other self-learners and professionals. Network with experts and practitioners in the industry and gain guidance and opportunities from their experience by attending events such as industry conferences, workshops and seminars.
Organize and display personal works: Organize your own project experience into exhibitable works, such as personal websites, GitHub warehouses or technical blogs. These pieces can showcase your technical skills and problem-solving skills, attracting the attention of potential employers.
Continuous learning and self-improvement: High performance computing is a field that is constantly growing and evolving. Maintain the enthusiasm for learning and the attitude of continuous learning, pay attention to the latest technology trends, research results and application fields. Continuous learning and continuous enrichment of one's knowledge and skills can enhance competitiveness in the job market.
Seek Career Opportunities: Use career sites, social media, and professional networks to find HPC-related career opportunities. Follow high performance computing job postings on career sites, join relevant communities and career organizations, keep in touch with professionals in the industry and learn about the latest developments in the industry.
In addition to actively seeking employment opportunities, participate in internship programs or volunteer work to gain real-world work experience and connections within the industry. These opportunities can provide opportunities to work with professionals, learn about industry practices and receive letters of recommendation, increasing your competitiveness in entering the HPC field.
Finally, don't forget to regularly update and refine your resume and cover letter. Emphasize your high-performance computing skills and experience, highlighting problem-solving skills and teamwork experience. Stay in regular contact with your professional network and mentors, professors or partners and ask them for advice or referrals regarding job opportunities.
Through self-study and continuous improvement, combined with a proactive job search strategy, you can create opportunities for yourself to find high-performance computing related jobs. Keep learning, stay passionate, and apply your knowledge and skills flexibly, and you will be able to succeed in this field full of challenges and opportunities.