Branch-Prediction in a Speculative Dataflow Processor

نویسندگان

  • Bradley C. Kuszmaul
  • Dana S. Henry
چکیده

A processor with an explicit dataflow instruction-set architecture may be able to achieve performance comparable to a superscalar RISC processor, even on serial code. To achieve this, the dataflow processor must support speculative operation, especially speculative branches, and a pipeline with bypassing for serial code. This paper outlines a set of mechanisms to implement speculative operation with a bypassing pipeline, in a paper design called the Speculative Dataflow Processor (SDP). The SDP uses several novel ideas as compared to traditional dataflow processors. Branches are predicted and speculated using a new branch firing rule. Several branch statements are grouped together so that they use a single branch prediction. The scheduling and bypass logic is similar to, but simpler and faster than, the corresponding logic in a superscalar RISC processor. Speculation introduces some new compiler issues. Additional care must be taken by the compiler to prevent speculative tokens from Iteration from overrunning the nonspeculative tokens from Iteration of a loop.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The effects of memory-access ordering on multiple-issue uniprocessor performance

We study the effect of memory access ordering policies on processor performance. Relaxed ordering policies increase available instruction-level parallelism, but such policies must be evaluated subject to their effect on memory consistency — since virtually all microprocessors are designed to be compatible with shared memory multiprocessor systems, even uniprocessor desktop computers are constra...

متن کامل

Speculative Thread Execution in a Multithreaded Dataflow Architecture

Instruction Level Parallelism (ILP) in modern Superscalar and VLIW processors is achieved using out-of-order execution, branch predictions, value predictions, and speculative executions of instructions. These techniques are not scalable. This has led to multithreading and multi-core systems. However, such processors require compilers to automatically extract thread level or task level paralleli...

متن کامل

Employing both inter-branch and intra-branch correlation to improve the accuracy of branch prediction

Today’s superscalar processors use branch prediction to reduce the influence of control hazards. Conventional two-level branch predictors make predictions based on either intra-branch correlation or inter-branch correlation. In the paper, the authors proposed two new branch predictors, called PGXg and PGAg, which make predictions by employing both intra-branch correlation and inter-branch corre...

متن کامل

Cost-Effective Graceful Degradation in Speculative Processor Subsystems: The Branch Prediction Case

We analyze the effect of errors in branch predictors, a representative example of speculative processor subsystems, to motivate the necessity for fault tolerance in such subsystems. We also describe the design of fault tolerant branch predictors using general fault tolerance techniques. We then propose a fault-tolerant implementation that utilizes the Finite State Machine (FSM) structure of the...

متن کامل

Probabilistic data flow analysis: a linear equational approach

Speculative optimisation relies on the estimation of the probabilities that certain properties of the control flow are fulfilled. Concrete or estimated branch probabilities can be used for searching and constructing advantageous speculative and bookkeeping transformations. We present a probabilistic extension of the classical equational approach to data-flow analysis that can be used to this pu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001