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[PDF][PDF] pluto: In-dram lookup tables to enable massively parallel general-purpose computation
Data movement between main memory and the processor is a significant contributor to the
execution time and energy consumption of memory-intensive applications. This data …
execution time and energy consumption of memory-intensive applications. This data …
pluto: Enabling massively parallel computation in dram via lookup tables
Data movement between the main memory and the processor is a key contributor to
execution time and energy consumption in memory-intensive applications. This data …
execution time and energy consumption in memory-intensive applications. This data …
Simultaneous Many-Row Activation in Off-the-Shelf DRAM Chips: Experimental Characterization and Analysis
We experimentally analyze the computational capability of commercial off-the-shelf (COTS)
DRAM chips and the robustness of these capabilities under various timing delays between …
DRAM chips and the robustness of these capabilities under various timing delays between …
PULSAR: Simultaneous many-row activation for reliable and high-performance computing in off-the-shelf DRAM chips
Data movement between the processor and the main memory is a first-order obstacle
against improving performance and energy efficiency in modern systems. To address this …
against improving performance and energy efficiency in modern systems. To address this …
A Streaming Data Processing Architecture Based on Lookup Tables
A Yuemaier, X Chen, X Qian, W Dai, S Li, Z Song - Electronics, 2023 - mdpi.com
Processing in memory (PIM) is a new computing paradigm that stores the function values of
some input modes in a lookup table (LUT) and retrieves their values when similar input …
some input modes in a lookup table (LUT) and retrieves their values when similar input …
Information hiding behind approximate computation
There are many interesting advances in approximate computing recently targeting the
energy efficiency in system design and execution. The basic idea is to trade computation …
energy efficiency in system design and execution. The basic idea is to trade computation …
SimBU: Self-Similarity-Based Hybrid Binary-Unary Computing for Nonlinear Functions
Unary computing is a relatively new method for implementing arbitrary nonlinear functions
that uses unpacked, thermometer number encoding, enabling much lower hardware costs …
that uses unpacked, thermometer number encoding, enabling much lower hardware costs …
High-accuracy Low-power Reconfigurable Architectures for Decomposition-based Approximate Lookup Table
Storing pre-computed results of frequently-used functions into lookup table (LUT) is a
popular way to improve energy efficiency, but its advantage diminishes as the number of …
popular way to improve energy efficiency, but its advantage diminishes as the number of …
Efficient table-based function approximation on FPGAs using interval splitting and BRAM instantiation
This article proposes a novel approach for the generation of memory-efficient table-based
function approximation circuits for edge devices in general and FPGAs in particular. Given a …
function approximation circuits for edge devices in general and FPGAs in particular. Given a …
Unlocking approximations through selective source code transformations
Approximate computing has emerged as a powerful alternative to further reduce the power
of integrated circuits (ICs). The main idea is to simplify the software or hardware circuit to …
of integrated circuits (ICs). The main idea is to simplify the software or hardware circuit to …