Within a decade, multicore processors emerged and revolutionised the world of computing. Nowadays, even a low-end computer comes with a multi-core processor and is capable running multiple threads simultaneously. It becomes impossible to make the best computation power out from a computer with a single-threaded program. Meanwhile, writing multi-threaded software is daunting to a lot of programmers as the threads share data and involve complicated synchronisation techniques such as locks and conditions. Software transactional memory is a promising alternative model that programmers simply need to understand transactional consistency and segment code into transactions. Programming becomes exciting again, without races, deadlocks and other issues that are common in lock-based paradigms. To pursue high throughput, performance-oriented computers have several multicore processors per each. A processor’s cache is not directly accessible by the cores in other processors, leading to non-uniform latency when the threads share data. These computers no longer behave like the classical symmetric multiprocessor computers. Although old programs continue to work, they do not necessary benefit from the added cores and caches. Most software transactional memory implementations fall into this category. They rely on a centralised and shared meta-variable (like logical clock) in order to provide the single-lock atomicity. On a computer with two or more multicore processors, the single and shared meta-variable gets regularly updated by different processors. This leads to a tremendous amount of cache contentions. Much time is spent on inter-processor cache invalidations rather than useful computations. Nevertheless, as computers with four processors or more are exponentially complex and expensive, people would desire solving sophisticated problems with several smaller computers whenever possible. Supporting software transactional consistency across multiple computers is a rarely explored research area. Although we have similar mature ...