Field specialization to reduce memory-access stalls and allocation requests in data-intensive applications

2:

• The method of claim 1, wherein the data-intensive application further comprises a database management system.

3:

• The method of claim 1, wherein the at least one field specialization technique comprises software prefetching.

4:

• The method of claim 3, wherein at least one of:
• a control-flow invariant;
• and a number of cycles invariant are identified.

5:

• The method of claim 3, further comprising inserting software prefetching instructions into the at least one speccode segment.

6:

• The method of claim 5, further comprising using at least one data prefetching hint to determine a prefetching level.

7:

• The method of claim 1, wherein the at least one field specialization technique comprises a data distribution-based hash function.

8:

• The method of claim 7, further comprising transforming an input value used as a key by a hash table with at least one of:
• a complete value distribution hash function and a refined value distribution hash function.

9:

• The method of claim 8, wherein the complete value distribution hash function relies on a value distribution of all rows of a column of an underlying table upon which the hash table is built, and the refined value distribution hash function relies on a value distribution of a subset of all rows of the column of the underlying table upon which the hash table is built.

10:

• The method of claim 1, wherein the at least one field specialization technique comprises a CPU binding of processes.

12:

• The method of claim 1, wherein the at least one field specialization technique comprises a memory segment reuse processes.

14:

• The method of claim 1, wherein the at least one field specialization technique comprises memory layout optimization.

16:

• The method of claim 2, wherein the at least one field specialization technique comprises software prefetching.

17:

• The method of claim 16, wherein at least one of:
• a control-flow invariant;
• and a number of cycles invariant are identified.

18:

• The method of claim 16, further comprising inserting software prefetching instructions into the at least one speccode segment.

19:

• The method of claim 18, further comprising using at least one data prefetching hint to determine a prefetching level.