Multiscalar processors use a new, aggressive implementation paradigm for extracting large quantities of instruction level parallelism from ordinary high level language programs. A single program is divided into a collection of tasks by a combination of software and hardware. The tasks

Multiscalar processors use a new, aggressive implementation paradigm for extracting large quantities of instruction level parallelism from ordinary high level language programs. A single program is divided into a collection of tasks by a combination of software and hardware. The tasks

Majority of the current day software is written with the assumption of sequential execution. State-of-the-art microprocessors, therefore, search for independent instructions in a dynamic instruction window and attempt to execute them simultaneously (ILP). The multiscalar processors, on the other

This work considers data memory alternatives for multiscalar processors that can support the aggressive control and data speculative execution of loads and stores. We discuss the key issues that must be dealt with for such a data memory design and partition the design space of alternatives

The Multiscalar architecture advocates a distributed processor organization and task-level speculation to exploit high degrees of instruction level parallelism (ILP) in sequential programs without impeding improvements in clock speeds. The main goal of this paper is to understand the key

The Multiscalar architecture executes a single sequential program following multiple flows of control. In the Multiscalar hardware, a global sequencer, with help from the compiler, takes large steps through the program's control flow graph (CFG) speculatively, starting a new thread of control

This paper presents the operation of the register file in the Multiscalar architecture. The register file provides the appearance of a logically centralized register file, yet is implemented as physically decentralized register files, queues, and control logic in a Multiscalar processor. We address

Abstract--Parallelism introduces complexities both in hardware and in software. Studying the Tera Computer System and the multiscalar processor gives us a glimpse of these. I.

paradigms, and shares a number of properties of the sequential processing model and the dataflow processing model. The multiscalar paradigm is easily realizable, and we describe an implementation of the multis-calar paradigm, called the multiscalar processor. The central idea here is to connect multiple

superscalar, a fine-grain multithreaded processor, and single-chip, multiple-issue multiprocessing architectures. Our results show that both (single-threaded) superscalar and fine-grain multithreaded architectures are limited in their ability to utilize the resources of a wide-issue processor. Simultaneous