This paper describes the polymorphous TRIPS architecture which can be configured for different granularities and types of parallelism. TRIPS contains mechanisms that enable the processing cores and the on-chip memory system to be configured and combined in different modes for instruction, data, or thread-level parallelism. To adapt to small and large-grain concurrency, the TRIPS architecture contains four out-of-order, 16-wide-issue Grid Processor cores, which can be partitioned when easily extractable fine-grained parallelism exists. This approach to polymorphism provides better performance across a wide range of application types than an approach in which many small processors are aggregated to run workloads with irregular parallelism. Ou...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruct...
Exploitation of parallelism has for decades been central to the pursuit of computing performance. Th...
This paper presents a joint study of application and architecture to improve the performance and sca...
This paper describes the polymorphous TRIPS architecture which can be configured for different granu...
textProcessor architects today are faced by two daunting challenges: emerging applications with het...
Modern CMPs are designed to exploit both instruction-level parallelism within processors and threadl...
We introduce explicit multi-threading (XMT), a decentralized architecture that exploits fine-grained...
To achieve high performance, contemporary computer systems rely on two forms of parallelism: instruc...
To achieve high performance, contemporary computer systems rely on two forms of parallelism: instruc...
Many existing multiple-processor architectures are designed to efficiently exploit parallelism in a ...
Future performance improvements must come from the exploitation of concurrency at all levels. Recen...
textThe level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Lev...
Many-core architectures face significant hurdles to successful adoption by ISVs, and ultimately, the...
International audienceThis paper presents a new method to parallelize programs, adapted to manycore ...
Multi-core processors naturally exploit thread-level par-allelism (TLP). However, extracting instruc...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruct...
Exploitation of parallelism has for decades been central to the pursuit of computing performance. Th...
This paper presents a joint study of application and architecture to improve the performance and sca...
This paper describes the polymorphous TRIPS architecture which can be configured for different granu...
textProcessor architects today are faced by two daunting challenges: emerging applications with het...
Modern CMPs are designed to exploit both instruction-level parallelism within processors and threadl...
We introduce explicit multi-threading (XMT), a decentralized architecture that exploits fine-grained...
To achieve high performance, contemporary computer systems rely on two forms of parallelism: instruc...
To achieve high performance, contemporary computer systems rely on two forms of parallelism: instruc...
Many existing multiple-processor architectures are designed to efficiently exploit parallelism in a ...
Future performance improvements must come from the exploitation of concurrency at all levels. Recen...
textThe level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Lev...
Many-core architectures face significant hurdles to successful adoption by ISVs, and ultimately, the...
International audienceThis paper presents a new method to parallelize programs, adapted to manycore ...
Multi-core processors naturally exploit thread-level par-allelism (TLP). However, extracting instruc...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruct...
Exploitation of parallelism has for decades been central to the pursuit of computing performance. Th...
This paper presents a joint study of application and architecture to improve the performance and sca...