In the past few years, code optimization has become a major field of research. Many efforts have been undertaken to find new sophisticated algorithms that fully exploit the computing power of today's advanced microprocessors. Most of these algorithms do very well in statically linked, monolithic software systems, but perform perceptibly worse in extensible systems. The modular structure of these systems imposes a natural barrier for intermodular compile-time optimizations. In this paper we discuss a different approach in which optimization is no longer performed at compile-time, but is delayed until runtime. Re-optimized module versions are generated on-the-fly while the system is running, replacing earlier less optimized versions. In the f...
Compile-time optimization is often limited by a lack of target machine and input data set knowledge....
Dynamic instruction count and instruction-level parallelism (ILP) are two limiting factors for high ...
Compared to traditional compile-time optimization, run-time optimization could offer signi@...
In the past few years, code optimization has become a major field of research. Many efforts have bee...
Traditional compilers rely on static information about programs to perform optimizations. While such...
Wide-issue processors continue to achieve higher performance by exploiting greater instruction-level...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
We are building an operating system in which an integral run-time code generator constantly strives ...
Dynamic Optimization refers to any program optimization performed after the initial static compile t...
203 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.This thesis presents a hardwa...
Future computer systems will integrate tens of multithreaded processor cores on a single chip die, r...
Dynamic optimization has several key advantages. This includes the ability to work on binary code in...
Dynamic optimization has the potential to adapt the program’s behavior at run-time to deliver perfor...
Much of the software in everyday operation is not making optimal use of the hardware on which it act...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Compile-time optimization is often limited by a lack of target machine and input data set knowledge....
Dynamic instruction count and instruction-level parallelism (ILP) are two limiting factors for high ...
Compared to traditional compile-time optimization, run-time optimization could offer signi@...
In the past few years, code optimization has become a major field of research. Many efforts have bee...
Traditional compilers rely on static information about programs to perform optimizations. While such...
Wide-issue processors continue to achieve higher performance by exploiting greater instruction-level...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
We are building an operating system in which an integral run-time code generator constantly strives ...
Dynamic Optimization refers to any program optimization performed after the initial static compile t...
203 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.This thesis presents a hardwa...
Future computer systems will integrate tens of multithreaded processor cores on a single chip die, r...
Dynamic optimization has several key advantages. This includes the ability to work on binary code in...
Dynamic optimization has the potential to adapt the program’s behavior at run-time to deliver perfor...
Much of the software in everyday operation is not making optimal use of the hardware on which it act...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Compile-time optimization is often limited by a lack of target machine and input data set knowledge....
Dynamic instruction count and instruction-level parallelism (ILP) are two limiting factors for high ...
Compared to traditional compile-time optimization, run-time optimization could offer signi@...