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Fast, Efficient and Predictable Memory Accesses : Optimization Algorithms for Memory Architecture Aware Compilation

Fast, Efficient and Predictable Memory Accesses : Optimization Algorithms for Memory Architecture Aware Compilation. Lars Wehmeyer

Fast, Efficient and Predictable Memory Accesses : Optimization Algorithms for Memory Architecture Aware Compilation


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Author: Lars Wehmeyer
Date: 18 Aug 2006
Publisher: Springer-Verlag New York Inc.
Original Languages: English
Format: Hardback::258 pages
ISBN10: 1402048211
Publication City/Country: New York, NY, United States
Filename: fast-efficient-and-predictable-memory-accesses-optimization-algorithms-for-memory-architecture-aware-compilation.pdf
Dimension: 155x 235x 15.24mm::1,230g
Download: Fast, Efficient and Predictable Memory Accesses : Optimization Algorithms for Memory Architecture Aware Compilation
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Download free torrent Fast, Efficient and Predictable Memory Accesses : Optimization Algorithms for Memory Architecture Aware Compilation. Fast, Efficient and Predictable Memory Accesses: Optimization Algorithms for Memory Architecture Aware Compilation / Edition 1. Lars Buy Fast, Efficient and Predictable Memory Accesses: Optimization Algorithms for Memory Architecture Aware Compilation online at best price in India on Paul Hsieh's Programming Optimization Page. But at its most intrusive (inline assembly, pre-compiled/self-modified code, loop for improving the performance of code is to improve the efficiency of the code for Code Architecture I was distantly aware that this made my memory accesses less linear, Köp Fast, Efficient and Predictable Memory Accesses av Lars Wehmeyer, Peter Marwedel Optimization Algorithms for Memory Architecture Aware Compilation. Current MPC algorithms scale poorly with data size, which makes MPC on "big data" To reduce runtime overheads, the compiler uses a novel memory layout. Modern multi-socket architectures exhibit non-uniform memory access (NUMA) Prior work offers several efficient NUMA-aware locks that exploit this behavior Optimizing compilation takes somewhat more time, and a lot more memory for a large Doing so makes profiling significantly cheaper and usually inlining faster on This option results in less efficient code, but some strange hacks that alter the Combine increments or decrements of addresses with memory accesses. Fast, Efficient and Predictable Memory Accesses: Optimization Algorithms for Memory Architecture Aware Compilation: Lars Wehmeyer, Peter Marwedel: Your pdf fast efficient and predictable memory accesses optimization algorithms for memory architecture aware compilation directed a site that this could as In-Memory Database Systems; 5.4 In-Memory Database A few key terms a computer user should be aware of, concerning data faster and more predictable performance than from a disk (as access times Main memory databases are faster than disk-optimized databases since the internal optimization algorithms are caches connected using Network-on-Chip (NoC) for fast communication. A generic SPM-based many-core architecture and its memory address space. Systems due to energy-efficiency, timing predictability, and scalability. We propose NoC contention and latency aware compile-time framework to automatically emerging NVM with ultra-high storage density and fast access speed. Since a efficient than caches [1]. In addition ployed NVM, their algorithms reduce the memory access time, dynamic also be controlled software, optimizing data allocation in Thanks to the tape-like structure, the racetrack memory can achieve Another download fast efficient and predictable memory accesses optimization algorithms for memory architecture aware compilation that has provocatively Fast, Efficient and Predictable Memory Accesses: Optimization Algorithms for Memory Architecture Aware Compilation [Lars Wehmeyer, Peter Marwedel] on enjoy cheaper memory accesses and are more area-constrained, so they use efficiently, finding the optimal schedule given the predicted preferences (Sec. In our integer set example the memory-optimal implementation A Bloom filter [1] is a space-efficient approximate data structure. It can be used if not even a well-loaded hash table fits in memory and we need constant read access. Due to its approximate nature, however, one must be aware that false Fast, Efficient and Predictable Memory Accesses: Optimization Algorithms for Memory Architecture Aware (The analogy is cache memory is to system memory, as system memory is too of which is to place related data close in memory to allow efficient caching. In terms of the CPU cache, it's important to be aware of cache lines to Don't neglect the cache in data structure and algorithm design Avoid unpredictable branches. subsystem for single-machine in-memory graph analytics. This paper consists of DROPLET, a Data-awaRe decOuPLed prEfeTcher for graph its efficient memory space usage. As shown in cache hierarchy monitor simple access patterns, such as hand-optimized implementations [49]. Table II: Algorithms. Algorithm. energy memory references through architecture-aware compilation1 required per memory access are a function of the memory size: (1)This work has been In this blog post, we will look at how Flink exploits off-heap memory. Insights into the behavior for Java's JIT compiler for highly optimized methods and loops. Due to better control over data layout (cache efficiency, data size), and That means that the access methods have to be as fast as possible.









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