Add to ORKGMost of the time, faced with a time/space trade-off, a compiler writer will choose to optimize time, even atthe cost of space. This was not always the case. Early in the history of computers, programmers would try everything they could think of to reduce the size of their code to get it to fit in the computer’s constrained space. As memory an
Multicore designers often add a small local memory close to each core to speed up access and to redu...
International audienceA key problem for parallelizing compilers is to find the good tradeoff betwee...
Abstract-In an embedded system, the cost of storing a program on-chip can be as high as the cost of ...
Most compiler optimizations focus on saving time and sometimes occur at the expense of increasing si...
As the speed gap between CPU and memory widens, memory hierarchy has become the primary factor limit...
textThe programming language and underlying hardware determine application performance, and both ar...
Over the last several decades, two important shifts have taken place in the computing world: first, ...
Over the past decade, microprocessor design strategies have focused on increasing the computational ...
As the gap between memory and processor speeds continues to widen, cache efficiency is an increasing...
While CPU speed has been improved by a factor of 6400 over the past twenty years, memory bandwidth h...
Out-of-core applications consume physical resources at a rapid rate, causing interactive application...
In this paper we examine parameterized procedural abstraction. This is an extension of an optimizati...
For a large class of scientific computing applications, the continuing growth in physical memory cap...
Obtaining high performance without machine-specific tuning is an important goal of scientific applic...
Over the last two decades, processor speeds have improved much faster than memory speeds. As a resul...
Multicore designers often add a small local memory close to each core to speed up access and to redu...
International audienceA key problem for parallelizing compilers is to find the good tradeoff betwee...
Abstract-In an embedded system, the cost of storing a program on-chip can be as high as the cost of ...
Most compiler optimizations focus on saving time and sometimes occur at the expense of increasing si...
As the speed gap between CPU and memory widens, memory hierarchy has become the primary factor limit...
textThe programming language and underlying hardware determine application performance, and both ar...
Over the last several decades, two important shifts have taken place in the computing world: first, ...
Over the past decade, microprocessor design strategies have focused on increasing the computational ...
As the gap between memory and processor speeds continues to widen, cache efficiency is an increasing...
While CPU speed has been improved by a factor of 6400 over the past twenty years, memory bandwidth h...
Out-of-core applications consume physical resources at a rapid rate, causing interactive application...
In this paper we examine parameterized procedural abstraction. This is an extension of an optimizati...
For a large class of scientific computing applications, the continuing growth in physical memory cap...
Obtaining high performance without machine-specific tuning is an important goal of scientific applic...
Over the last two decades, processor speeds have improved much faster than memory speeds. As a resul...
Multicore designers often add a small local memory close to each core to speed up access and to redu...
International audienceA key problem for parallelizing compilers is to find the good tradeoff betwee...
Abstract-In an embedded system, the cost of storing a program on-chip can be as high as the cost of ...