Donald W. Plass

Bio: Donald W. Plass is an academic researcher from IBM. The author has contributed to research in topics: Transistor & Microprocessor. The author has an hindex of 18, co-authored 85 publications receiving 1155 citations.

Design of the Power6 Microprocessor

Abstract: The POWER6trade microprocessor combines ultra-high frequency operation, aggressive power reduction, a highly scalable memory subsystem, and mainframe-like reliability, availability, and serviceability. The 341mm2 700M transistor dual-core microprocessor is fabricated in a 65nm SOI process with 10 levels of low-k copper interconnect. It operates at clock frequencies over 5GHz in high-performance applications, and consumes under 100W in power-sensitive applications.

Design and implementation of the POWER5 microprocessor

Abstract: POWER5 offers significantly increased performance over previous POWER designs by incorporating simultaneous multithreading, an enhanced memory subsystem, and extensive RAS and power management support. The 276M transistor processor is implemented in 130nm silicon-on-insulator technology with 8-level of Cu metallization and operates at >1.5 GHz.

5.1 POWER8 TM : A 12-core server-class processor in 22nm SOI with 7.6Tb/s off-chip bandwidth

Abstract: The 12-core 649mm2 POWER8™ leverages IBM's 22nm eDRAM SOI technology [1], and microarchitectural enhancements to deliver up to 2.5× the socket performance [2] of its 32nm predecessor, POWER7+™ [3]. POWER8 contains 4.2B transistors and 31.5μF of deep-trench decoupling capacitance. Three thin-oxide transistor Vts are used for power/performance tuning, and thick-oxide transistors enable high-voltage I/O and analog designs. The 15-layer BEOL contains 5-80nm, 2-144nm, 3-288nm, and 3-640nm pitch layers for low-latency communication as well as 2-2400nm ultra-thick-metal (UTM) pitch layers for low-resistance distribution of power and clocks.

6.6+ GHz Low Vmin, read and half select disturb-free 1.2 Mb SRAM

Abstract: A fully functional read and half select disturb-free 1.2 Mb SRAM is demonstrated. Measured results show an operating range of 0.4 V to 1.5 V and -25degC to 100degC, speed of 6.6+ GHz at IV, 25degC and yield of 90-100%.

A 45 nm SOI Embedded DRAM Macro for the POWER™ Processor 32 MByte On-Chip L3 Cache

Abstract: A 1.35 ns random access and 1.7 ns-random-cycle SOI embedded-DRAM macro has been developed for the POWER7™ high-performance microprocessor. The macro employs a 6 transistor micro sense-amplifier architecture with extended precharge scheme to enhance the sensing margin for product quality. The detailed study shows a 67% bit-line power reduction with only 1.7% area overhead, while improving a read zero margin by more than 500ps. The array voltage window is improved by the programmable BL voltage generator, allowing the embedded DRAM to operate reliably without constraining of the microprocessor voltage supply windows. The 2.5nm gate oxide transistor cell with deep-trench capacitor is accessed by the 1.7 V wordline high voltage (VPP) with V WL low voltage (VWL), and both are generated internally within the microprocessor. This results in a 32 MB on-chip L3 on-chip-cache for 8 cores in a 567 mm POWER7™ die.

Introduction to the cell multiprocessor

Abstract: This paper provides an introductory overview of the Cell multiprocessor. Cell represents a revolutionary extension of conventional microprocessor architecture and organization. The paper discusses the history of the project, the program objectives and challenges, the disign concept, the architecture and programming models, and the implementation.

Processor: A 64-Core SoC with Mesh Interconnect

Abstract: The TILE64TM processor is a multicore SoC targeting the high-performance demands of a wide range of embedded applications across networking and digital multimedia applications. A figure shows a block diagram with 64 tile processors arranged in an 8x8 array. These tiles connect through a scalable 2D mesh network with high-speed I/Os on the periphery. Each general-purpose processor is identical and capable of running SMP Linux.

TILE64 - Processor: A 64-Core SoC with Mesh Interconnect

Abstract: The TILE64TM processor is a multicore SoC targeting the high-performance demands of a wide range of embedded applications across networking and digital multimedia applications. A figure shows a block diagram with 64 tile processors arranged in an 8x8 array. These tiles connect through a scalable 2D mesh network with high-speed I/Os on the periphery. Each general-purpose processor is identical and capable of running SMP Linux.

Techniques for Multicore Thermal Management: Classification and New Exploration

Abstract: Power density continues to increase exponentially with each new technology generation, posing a major challenge for thermal management in modern processors. Much past work has examined microarchitectural policies for reducing total chip power, but these techniques alone are insufficient if not aimed at mitigating individual hotspots. The industry's current trend has been toward multicore architectures, which provide additional opportunities for dynamic thermal management. This paper explores various thermal management techniques that exploit the distributed nature of multicore processors. We classify these techniques in terms of core throttling policy, whether that policy is applied locally to a core or to the processor as a whole, and process migration policies. We use Turandot and a HotSpot-based thermal simulator to simulate a variety of workloads under thermal duress on a 4-core PowerPCTMprocessor. Using benchmarks from the SPEC 2000 suite we characterize workloads in terms of instruction throughput as well as their effective duty cycles. Among a variety of options we find that distributed controltheoretic DVFS alone improves throughput by 2.5X under our test conditions. Our final design involves a PI-based core thermal controller and an outer control loop to decide process migrations. This policy avoids all thermal emergencies and yields an average of 2.6X speedup over the baseline across all workloads.

A Survey of CPU-GPU Heterogeneous Computing Techniques

Abstract: As both CPUs and GPUs become employed in a wide range of applications, it has been acknowledged that both of these Processing Units (PUs) have their unique features and strengths and hence, CPU-GPU collaboration is inevitable to achieve high-performance computing. This has motivated a significant amount of research on heterogeneous computing techniques, along with the design of CPU-GPU fused chips and petascale heterogeneous supercomputers. In this article, we survey Heterogeneous Computing Techniques (HCTs) such as workload partitioning that enable utilizing both CPUs and GPUs to improve performance and/or energy efficiency. We review heterogeneous computing approaches at runtime, algorithm, programming, compiler, and application levels. Further, we review both discrete and fused CPU-GPU systems and discuss benchmark suites designed for evaluating Heterogeneous Computing Systems (HCSs). We believe that this article will provide insights into the workings and scope of applications of HCTs to researchers and motivate them to further harness the computational powers of CPUs and GPUs to achieve the goal of exascale performance.