Compiler-based static vectorization is used widely to extract data-level parallelism from computation-intensive applications. Static vectorization is very effective in vectorizing traditional array-based applications. However, compilers' inability to do accurate interprocedural pointer disambiguation and interprocedural array dependence analysis severely limits vectorization opportunities. HW/SW codesigned processors provide an excellent opportunity to optimize the applications at runtime. The availability of dynamic application behavior at runtime helps in capturing vectorization opportunities generally missed by the compilers. This article proposes to complement the static vectorization with a speculative dynamic vectorizer in an HW/SW co...
The major specific contributions are: (1) We introduce a new compiler analysis to identify the memor...
This paper proposes a new compiler technique that enables speculative execution of alternative progr...
220 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.The objective of this dissert...
Compiler-based static vectorization is used widely to extract data-level parallelism from computatio...
Traditional vector architectures have shown to be very effective for regular codes where the compile...
Several ILP limit studies indicate the presence of considerable ILP across dynamically far-apart ins...
Vectorization support in hardware continues to expand and grow as we still continue on superscalar a...
Vectorization support in hardware continues to expand and grow as well we still continue on supersca...
SIMD accelerators are ubiquitous in microprocessors from different computing domains. Their high com...
Traditional vector architectures have been shown to be very effective in executing regular codes in ...
While industry continues to develop SIMD vector ISAs by providing new instructions and wider data-pa...
Recent hardware trends with GPUs and the increasing vector lengths of SSE-like ISA extensions for mu...
Accelerating program performance via SIMD vector units is very common in modern processors, as evide...
International audienceUsing SIMD instructions is essential in modern processor architecture for high...
Newer architectures continue to expand vector sizes and increase the different number of vec-tor ins...
The major specific contributions are: (1) We introduce a new compiler analysis to identify the memor...
This paper proposes a new compiler technique that enables speculative execution of alternative progr...
220 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.The objective of this dissert...
Compiler-based static vectorization is used widely to extract data-level parallelism from computatio...
Traditional vector architectures have shown to be very effective for regular codes where the compile...
Several ILP limit studies indicate the presence of considerable ILP across dynamically far-apart ins...
Vectorization support in hardware continues to expand and grow as we still continue on superscalar a...
Vectorization support in hardware continues to expand and grow as well we still continue on supersca...
SIMD accelerators are ubiquitous in microprocessors from different computing domains. Their high com...
Traditional vector architectures have been shown to be very effective in executing regular codes in ...
While industry continues to develop SIMD vector ISAs by providing new instructions and wider data-pa...
Recent hardware trends with GPUs and the increasing vector lengths of SSE-like ISA extensions for mu...
Accelerating program performance via SIMD vector units is very common in modern processors, as evide...
International audienceUsing SIMD instructions is essential in modern processor architecture for high...
Newer architectures continue to expand vector sizes and increase the different number of vec-tor ins...
The major specific contributions are: (1) We introduce a new compiler analysis to identify the memor...
This paper proposes a new compiler technique that enables speculative execution of alternative progr...
220 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.The objective of this dissert...