Advanced Memory Optimization Techniques for Low Power by Manish Verma, Peter Marwedel

By Manish Verma, Peter Marwedel

This booklet proposes novel reminiscence hierarchies and software program optimization strategies for the optimum usage of reminiscence hierarchies. It offers a variety of optimizations, gradually expanding within the complexity of research and of reminiscence hierarchies. the ultimate bankruptcy covers optimization strategies for functions together with a number of methods present in most up-to-date embedded devices.

Show description

Read Online or Download Advanced Memory Optimization Techniques for Low Power Embedded Processors PDF

Best microprocessors & system design books

SOI Circuit Design Concepts

Industry call for for microprocessor functionality has influenced persevered scaling of CMOS via a succession of lithography generations. Quantum mechanical obstacles to persisted scaling have gotten comfortably obvious. in part Depleted Silicon-on-Insulator (PD-SOI) expertise is rising as a promising technique of addressing those barriers.

Conceptual Wavelets in Digital Signal Processing

HOW (AND WHY) THIS publication IS diverse Wavelets are enormously robust, but when you could t comprehend them, you could t use them or worse, blissfully misuse them! CONCEPTUAL WAVELETS is exclusive as a whole, in-depth remedy of the topic yet from an intuitive, conceptual standpoint. during this publication we pressure trained use of wavelets and go away the mathematically rigorous proofs to different texts.

Embedded Systems Circuits and Programming

Throughout the improvement of an engineered product, builders usually have to create an embedded system--a prototype--that demonstrates the operation/function of the equipment and proves its viability. delivering functional instruments for the advance and prototyping levels, Embedded structures Circuits and Programming offers an academic on microcontroller programming and the fundamentals of embedded layout.

Logic programming: proceedings of the 6 international conference

Those 39 contributions disguise a wide variety of subject matters, together with purposes, architectures, complexity, concurrent languages, constraint languages, deductive databases, higher-order languages and extensions, language matters, software improvement instruments and method, relatives to different computational types, kin with synthetic intelligence, sequential and parallel implementations, and thought and foundations.

Extra info for Advanced Memory Optimization Techniques for Low Power Embedded Processors

Sample text

The processor was synthesized for a standard-cell library by Virtual SiliconTM for the 130 nm 8-layer-metal UMC process using Synopsys Design CompilerTM . 9. 7 mm2 with data memory consuming 73% of the total die size. In our setup, we inserted a small scratchpad memory in between the large data memory and the register file. The scratchpad memory is used to store only data arrays found in the applications. The energy consumption of the entire system could not be computed as the instruction-level energy model for the M5 DSP is currently unavailable.

1 (Trace). e. the execution control flow must be able to reach basic block Bj from basic block Bk without passing through a taken branch instruction. A sequence of basic blocks which satisfies the above definition of a trace, has the following properties: (a) Basic blocks Bi · · · Bj belonging to a trace are sequentially placed in adjacent memory locations. 1 Some researchers disagree on register allocation being classified as an optimization. 24 3 Memory Aware Compilation and Simulation Framework (b) The last instruction of each trace is always an unconditional jump or a return instruction.

0 adpcm dsp Energy (SA) edge detection Exec. Time (Frac. SA) histogram media Exec. Time (SA) mpeg multisort average Fig. 6. Overall Comparison of the Scratchpad Allocation Approaches Next, a comparison of the two scratchpad allocation approaches over all benchmarks is presented. 6 presents the normalized average total energy consumption and 4 Non-Overlayed ScratchpadAllocationApproaches for Main / Scratchpad Memory Hierarchy Total Energy Consumption (mJ) 44 3000 Energy (SA): 1 Compute Processor Energy (SA): 2 Compute Processors 2700 Energy (SA): 3 Compute Processors Energy (SA): 4 Compute Processors 2400 2100 1800 1500 1200 900 600 300 0 0 128 256 512 1024 2048 Scratchpad Size (bytes) 4096 8192 16384 Fig.

Download PDF sample

Rated 4.69 of 5 – based on 27 votes