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QuoteRef: tardD10_2006
Topic:
computer architecture
Topic:
data parallel processing
Topic:
functional programming
Topic:
arrays
Reference
Tarditi, D., Puri, S., Oglesby, J., "Accelerator: Using data parallelism to program GPUs for general-purpose uses", ACM Symposium on Programming, Languages, and Systems (ASPLOS'06), San Jose, California, USA, October 2006, pp. 325-335. Google
abstract ;;Quote: Accelerator uses data parallelism to program GPUs using a conventional imperative language; within 50% of hand-written code; up to 18x faster than C
328 ;;Quote: parallel arrays are Accelerator's fundamental data type; homogeneous, no index operator, no side effects; the result of any operation is a new array
Topic: computer architecture (46 items)
Topic: data parallel processing (14 items)
Topic: functional programming (45 items)
Topic: arrays (58 items)