Automatic translation of FORTRAN programs to vector form
ACM Transactions on Programming Languages and Systems (TOPLAS)
Compilation techniques for multimedia processors
International Journal of Parallel Programming - Special issue on instruction-level parallelism and parallelizing compilation, Part 1
Imagine: Media Processing with Streams
IEEE Micro
StreamIt: A Language for Streaming Applications
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Media Processing Applications on the Imagine Stream Processor
ICCD '02 Proceedings of the 2002 IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD'02)
Bottlenecks in Multimedia Processing with SIMD Style Extensions and Architectural Enhancements
IEEE Transactions on Computers
Evaluation of the Raw Microprocessor: An Exposed-Wire-Delay Architecture for ILP and Streams
Proceedings of the 31st annual international symposium on Computer architecture
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
An Empirical Study On the Vectorization of Multimedia Applications for Multimedia Extensions
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Exploiting Vector Parallelism in Software Pipelined Loops
Proceedings of the 38th annual IEEE/ACM International Symposium on Microarchitecture
Stream Programming on General-Purpose Processors
Proceedings of the 38th annual IEEE/ACM International Symposium on Microarchitecture
Multi-platform Auto-vectorization
Proceedings of the International Symposium on Code Generation and Optimization
Data and Computation Transformations for Brook Streaming Applications on Multiprocessors
Proceedings of the International Symposium on Code Generation and Optimization
Auto-vectorization of interleaved data for SIMD
Proceedings of the 2006 ACM SIGPLAN conference on Programming language design and implementation
Language and compiler design for streaming applications
International Journal of Parallel Programming - Special issue: The next generation software program
Compiling for stream processing
Proceedings of the 15th international conference on Parallel architectures and compilation techniques
Architectural Support for the Stream Execution Model on General-Purpose Processors
PACT '07 Proceedings of the 16th International Conference on Parallel Architecture and Compilation Techniques
Streamware: programming general-purpose multicore processors using streams
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Orchestrating the execution of stream programs on multicore platforms
Proceedings of the 2008 ACM SIGPLAN conference on Programming language design and implementation
MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs
Languages and Compilers for Parallel Computing
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Streaming languages were originally aimed at streaming architectures, but recent work has shown the stream programming model to be useful in exploiting parallelism on general purpose processors. Current research in mapping stream code onto GPPs deals with load balancing and generating threads based on hardware features. We look into improving problems associated with stream data locality and stream data parallelism on GPPs. We suggest that automatically generating vectorized code for these streaming operations is a potential solution. We use the Brook stream language as our syntax base and augment it to generate vector intrinsics targeting the x86 architecture. This compiler uses both existing and new strategies to transform high-level streaming kernel code into vector instructions without requiring additional annotations. We compare our system's results to existing mapping strategies aimed at using stream code on GPPs. When evaluating performance, we see a wide range of speedups from a few percent to over 2x and discuss the level of effectiveness of using vector code over scalar equivalents in specific application domains.