A new sort algorithm, called AlphaSort, demonstrates that commodity processors and disks can handle commercial batch workloads. Using Alpha AXP processors, commodity memory, and arrays of SCSI disks, AlphaSort runs the industry-standard sort benchmark in seven seconds. This beats the best published record on a 32-cpu 32-disk Hypercube by 8:1. On another benchmark, AlphaSort sorted more than a gigabyte in a minute.AlphaSort is a cache-sensitive memory-intensive sort algorithm. It uses file striping to get high disk bandwidth. It uses QuickSort to generate runs and uses replacement-selection to merge the runs. It uses shared memory multiprocessors to break the sort into subsort chores.Because startup times are becoming a significant part of the total time, we propose two new benchmarks: (1) Minutesort: how much can you sort in a minute, and (2) DollarSort: how much can you sort for a dollar.

A cache was first used in a commercial computer in 1968,1 and researchers have spent the last 15 years analyzing caches and suggesting improvements. In designing a VLSI instruction cache for a RISC microprocessor we have uncovered four ideas potentially applicable to other VLSI machines. These ideas provide expansible cache memory, increased cache speed, reduced program code size, and decreased manufacturing costs. These improvements blur the habitual distinction between an instruction cache and an instruction fetch unit.