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To show the breadth and depth of Marty's impact and to honor his memory, we present this tribute.
Given standard characteristics of processors and memory, we present two simple ways of estimating the performance of shared memory multiprocessors.
Since the majority of the memory space the application is accessing is dynamically allocated (heap memory), we present here the heap allocation, which is the total amount of heap memory reserved by the application through memory allocation requests, and the heap size, which corresponds to the total heap size allocated for the application.
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Since CQs are long-running, potentially requiring large amounts of memory, we next present a precise characterization of the amount of memory required for any query in the language.
In this paper, we analyze the architecture of the NAND Flash memory emulator and we present details about its internal functionality.
Taking the internal consistency and time consistency of transactions and data in embedded real-time main memory databases into consideration, we present some rules for correct recovery strategies.
In this paper, we present distributed memory parallel algorithms for switching edges in massive networks.
In Section 3, we present the memory structure for CUDA, an address generation method for LDPC decoding, and existing parallelization techniques.
We present a memory-efficient and parallel framework for finite element operator application implemented in the generic open-source library deal.II.
We present a new shared memory model, SF shared memory model.
We build on previous studies in [9, 10] where we presented a memory based architecture controlled by an instruction set processor.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com