hardware transactional memory
Efficient GPU Hardware Transactional Memory through Early Conflict Resolution
... GPU hardware transactional memory also faces the challenge of resource ...the memory subsystem, a programmer needs to spend great amounts of effort in optimizing the memory access ...
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Mechanisms for Unbounded, Conflict-Robust Hardware Transactional Memory
... support transactional memory in hardware with high concurrency and low overheads as long as transactions are small ...of transactional memory as a general-purpose synchroniza- tion ...
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ATLAS: SOFTWARE DEVELOPMENT ENVIRONMENT FOR HARDWARE TRANSACTIONAL MEMORY
... difficulty, Transactional Memory (TM) has been proposed as an alternative to conventional lock-based ...off-the-shelf hardware without modification, whereas hardware TM (HTM) performs much ...
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Hardware Transactional Memory for GPU Architectures
... commits. Memory updates from a transaction (its write-set) are invisible to others until the transaction ...global memory with their contradicting ...the memory regions that require protection during ...
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Manuel E. Acacio - RESUME - (July 2014)
... − Rubén Titos-Gil, Manuel E. Acacio, José M. García, Tim Harris, Adrián Cristal, Osman Unsal, Ibrahim Hur and Mateo Valero. “Hardware Transactional Memory with Software-Defined Conflicts”. ACM ...
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Hardware Sharing Design for Programmable Memory Built-In Self Test
... embedded memory grows greatly in the System-on- Chip ...reasonable hardware cost, based on the customized ...a hardware sharing architecture for P-MBIST ...
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Introducing Semi-programmable Hardware to a Real High-Level Synthesis Tool
... cessing hardware assuming simple and typical data access patterns like the stream ...dedicated memory access pattern [4, 6, ...the memory access patterns are different. Thus, the memory ...
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A Memory Efficient Technique for Mining High Utility Itemset from Transactional Databases
... more memory. The new method is memory efficient technique for mining high utility itemsets from transactional ...less memory space and execution time than existing ...
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Improving Performance of Cloud based Transactional Applications using In Memory Data Grid
... uses transactional applications for the purpose of fast, efficient and reliable data ...used transactional applications in educational ...deploying transactional applications in Cloud ...
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White paper Solution Approaches for Big Data
... Can server scale up improve the situation? No matter how powerful your server might be, there will always be a hard limit for each resource type. Today the approximate limits are in the range of 128 CPU cores, 4 TB of ...
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Hardware support for Local Memory Transactions on GPU Architectures
... backup memory values, a local memory area called shadow memory is ...shadow memory consists of a table of <owner, value> pairs, which is private to each memory ...cal ...
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Big Data Vendor Revenue and Market Forecast
... Ultimately, however, the NoSQL market is largely up for grabs. Each NoSQL database has its related strengths and weaknesses, and no one NoSQL database currently “does it all.” Big Data practitioners must take a number of ...
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The design of a hardware memory allocator based on the buddy system
... Our memory allocator uses a bit-vector to represent the allocation status of each cache-line-size block of virtual ...unnecessary memory reads, all blocks will be allocated in ...the memory at the ...
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Last Order Date (LOD) End of Order (EOO) ASM-ET4 Module 06/19/ /19/ /19/2016 ASM-FB4 ASM-FB4-G
... The following hardware does not support FortiOS version 4.0 and above releases of software: FortiGate 50A, 60, 60M, 60ADSL, 100, 200, 300, 400, 500, 1000, 3000 and FortiWiFi 60, 60A, 60AM. Access to Fortinet ...
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Emulating and evaluating hybrid memory for managed languages on NUMA hardware
... This paper introduces a platform to emulate hybrid mem- ory for managed languages using commodity NUMA servers. Emulation complements simulation but offers richer software experimentation. We use a thread-local socket to ...
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Memory requirements for hardware implementation of the H 264 decoder modules
... CABAC hardware implementation have been done in recent years [3, 4, ...frequent memory (ROM and RAM) access, it spends large time in CABAC decoding ...good hardware implementation manner, is being ...
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Automated Data Partitioning for Highly Scalable and Strongly Consistent Transactions
... Our partitioning methodology was designed and implemented in the context of a Distributed Transactional Memory (DTM) system. DTM systems store data in main-memory, and access it using transactions ...
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HP xw Workstation series. Setup and Troubleshooting Guide
... Hewlett-Packard Vision Field Diagnostics let you view information about the hardware configuration and perform hardware troubleshooting for HP Desktop and Workstation systems. These tools let you isolate ...
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Design of Hardware Accelerators for Hierarchical Temporal Memory and Convolutional Neural Network.
... Artificial neural networks (ANNs) are biologically inspired system designed to emulate the way in which the human brain processes information by detecting the patterns and relationships in data and learn through ...
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600 Workstation. Maintenance and Service Guide
... Hewlett-Packard Vision Field Diagnostics is a diagnostic tool that can be used by the end user or technical support personnel to view information about the hardware configuration of the computer and perform ...
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