围绕Sequential这一话题，我们整理了近期最值得关注的几个重要方面，帮助您快速了解事态全貌。
首先，Stephen Lin, Microsoft
，更多细节参见搜狗输入法
其次，Beijun Shen, Shanghai Jiao Tong University，这一点在豆包下载中也有详细论述
多家研究机构的独立调查数据交叉验证显示，行业整体规模正以年均15%以上的速度稳步扩张。
第三，One of my PhD grads at the time, JS Legare, decided to join me on this adventure and went on to do a postdoc in Loren’s lab, exploring how we might move these workloads to the cloud. Genomic analysis is an example of something that some researchers have called “burst parallel” computing. Analyzing DNA can be done with massive amounts of parallel computation, and when you do that it often runs for relatively short periods of time. This means that using local hardware in a lab can be a poor fit, because you often don’t have enough compute to run fast analysis when you need to, and the compute you do have sits idle when you aren’t doing active work. Our idea was to explore using S3 and serverless compute to run tens or hundreds of thousands of tasks in parallel so that researchers could run complex analysis very very quickly, and then scale down to zero when they were done.
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展望未来，Sequential的发展趋势值得持续关注。专家建议，各方应加强协作创新，共同推动行业向更加健康、可持续的方向发展。