Due to the large amount of potential parallelism, resource management is a critical issue in multithreaded architectures. The challenge in code generation is to control the parallelism without reducing the machines ability to exploit it. Controlled parallelism reduces idle time, communication, and delay caused by synchronization. At the same time it increases the potential for exploitation of program *data structure* locality. In this paper we present and evaluate two methods, slicing and chunking, to control program parallelism. We present the compilation strategy and evaluate its effectiveness in terms of performance characteristics such as run time and matching store occupancy. Keywords: multithreadedarchitectures, code generation, quan...
The performance of a concurrent multithreaded architectural model, called superthreading [15), is st...
The presence of multiple active threads on the same processor can mask latency by rapid context swit...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
Abstract: Tolerance to communication latency and inexpensive synchronization are critical for genera...
This thesis studies efficient runtime systems for parallelism management (multithreading) and memory...
Lately, multithreading evolved into a standard way to enhance the processor usage and program effici...
In this paper, we describe a two-dimensional concurrent multithreaded architecture which combines ag...
Compiler optimizations are often driven by specific assumptions about the underlying architecture an...
grantor: University of TorontoMemory latency is becoming an increasingly important perform...
The recent advent of multithreaded architectures holds many promises: the exploitation of intra-thre...
International audienceState-of-the-art automatic polyhedral parallelizers extract and express parall...
Since the era of vector and pipelined computing, the computational speed is limited by the memory ac...
The use of multithreading can enhance the performance of a software system. However, its excessive u...
116 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.In this thesis we also presen...
Pre-execution uses helper threads running in spare hardware contexts to trigger cache misses in fron...
The performance of a concurrent multithreaded architectural model, called superthreading [15), is st...
The presence of multiple active threads on the same processor can mask latency by rapid context swit...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
Abstract: Tolerance to communication latency and inexpensive synchronization are critical for genera...
This thesis studies efficient runtime systems for parallelism management (multithreading) and memory...
Lately, multithreading evolved into a standard way to enhance the processor usage and program effici...
In this paper, we describe a two-dimensional concurrent multithreaded architecture which combines ag...
Compiler optimizations are often driven by specific assumptions about the underlying architecture an...
grantor: University of TorontoMemory latency is becoming an increasingly important perform...
The recent advent of multithreaded architectures holds many promises: the exploitation of intra-thre...
International audienceState-of-the-art automatic polyhedral parallelizers extract and express parall...
Since the era of vector and pipelined computing, the computational speed is limited by the memory ac...
The use of multithreading can enhance the performance of a software system. However, its excessive u...
116 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.In this thesis we also presen...
Pre-execution uses helper threads running in spare hardware contexts to trigger cache misses in fron...
The performance of a concurrent multithreaded architectural model, called superthreading [15), is st...
The presence of multiple active threads on the same processor can mask latency by rapid context swit...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...