Victor M. DeLaLuz

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Previous work on DRAM power-mode management focused on hardware-based techniques and compiler-directed schemes to explicitly transition unused memory modules to low-power operating modes. While hardware-based techniques require extra logic to keep track of memory references and make decisions about future mode transitions, compiler-directed schemes can only(More)
The anticipated explosive growth of pervasive and mobile computing devices that are typically constrained by energy has brought hardware and software techniques for energy conservation into the spotlight. While there have been several studies and proposals for energy conservation for CPUs and peripherals, energy optimization techniques for selective(More)
An architectural solution to reducing memory energy consumption is to adopt a multi-bank memory system instead of a monolithic (single-bank) memory system. Some recent multi-bank memory architectures help reduce memory energy by allowing an unused bank to be placed into a low-power operating mode. This paper describes an automatic data migration strategy(More)
While there have been several studies and proposals for energy conservation for CPUs and peripherals, energy optimization techniques for selective operating mode control of DRAMs have not been fully explored. It has been shown that as much as 90% of overall system energy (excluding I/O) is consumed by the DRAM modules, serving as a good candidate for energy(More)
Due to low power requirements of many embedded/portable devices such as mobile phones and laptop computers and dramatic increases in clock frequencies of general-purpose processors, lowpower software technology is becoming increasingly important in system design. Many applications from image and video processing as well as from dense linear algebra are(More)
With the increased use of embedded/portable devices such as smart cellular phones, pagers, PDAs, hand-held computers, and CD players, improving energy efficiency is becoming a critical issue. To develop a truly energy-efficient system, energy constraints should be taken into account early in the design process; i.e., at the source level in software(More)
Improving memory energy consumption of programs that manipulate arrays is an important problem as these codes spend large amounts of energy in accessing off-chip memory. We propose a data-driven strategy to optimize the memory energy consumption in a banked memory system. Our compiler-based strategy modifies the original execution order of loop iterations(More)
The anticipated explosive growth of pervasive and mobile computing devices that are typically constrained by energy has brought hardware and software techniques for energy conservation into the spotlight. While there have been several studies and proposals for energy conservation for CPUs and peripherals, energy optimization techniques for selective(More)
In this paper, we propose a data-driven strategy to optimize the memory energy consumption in a banked memory system. Our compiler-based strategy modifies the original execution order of loop iterations in array-dominated applications to increase the length of the time period(s) in which memory banks are idle (i.e., not accessed by any loop iteration). To(More)