Demo Data from EDBT 2026 / reviewers in the wild / expert
Thiruvengadam Vijayaraghavan
dblp:161/1185
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0001-5808-9907ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Processor architecture and microarchitecture · 29% Memory systems · 23% High-performance computing · 11% |
Topics — the 9 heaviest of 12, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
3d-stacked memory |
0.3 | 1 | 2017 | Design and Analysis of an APU for Exascale Computing · HPCA 2017 |
GPUs and heterogeneous computing › heterogeneous architecture
accelerated processing unit |
0.3 | 1 | 2017 | Design and Analysis of an APU for Exascale Computing · HPCA 2017 |
Hardware accelerators and domain-specific architectures › accelerator integration
CPU-GPU integration |
0.3 | 1 | 2017 | Design and Analysis of an APU for Exascale Computing · HPCA 2017 |
High-performance computing › supercomputing
exascale computing |
0.3 | 1 | 2017 | Design and Analysis of an APU for Exascale Computing · HPCA 2017 |
Processor architecture and microarchitecture › multicore design
heterogeneous processor architecture |
0.3 | 1 | 2017 | Design and Analysis of an APU for Exascale Computing · HPCA 2017 |
Memory systems › DRAM › DRAM architecture
high bandwidth memory |
0.3 | 1 | 2017 | Design and Analysis of an APU for Exascale Computing · HPCA 2017 |
Processor architecture and microarchitecture
instruction set architecture |
0.2 | 1 | 2015 | ISA Wars: Understanding the Relevance of ISA being RISC or CISC to Performance, Power, and Energy on Modern Architectures · ACM Trans. Comput. Syst. 2015 |
Processor architecture and microarchitecture › instruction set architecture › instruction set style
RISC vs CISC |
0.2 | 1 | 2015 | ISA Wars: Understanding the Relevance of ISA being RISC or CISC to Performance, Power, and Energy on Modern Architectures · ACM Trans. Comput. Syst. 2015 |
Integrated circuit design › heterogeneous integration
chiplet-based design |
0.1 | 1 | 2017 | Design and Analysis of an APU for Exascale Computing · HPCA 2017 |
Methods — techniques the papers use, named apart from their topics
architectural simulation · 0.3measurement-based study · 0.2benchmarking · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Design and Analysis of an APU for Exascale ComputingabstractThe challenges to push computing to exaflop levels are difficult given desired targets for memory capacity, memory bandwidth, power efficiency, reliability, and cost. This paper presents a vision for an architecture that can be used to construct exascale systems. We describe a conceptual Exascale Node Architecture (ENA), which is the computational building block for an exascale supercomputer. The ENA consists of an Exascale Heterogeneous Processor (EHP) coupled with an advanced memory system. The EHP provides a high-performance accelerated processing unit (CPU+GPU), in-package high-bandwidth 3D memory, and aggressive use of die-stacking and chiplet technologies to meet the requirements for exascale computing in a balanced manner. We present initial experimental analysis to demonstrate the promise of our approach, and we discuss remaining open research challenges for the community. Thiruvengadam Vijayaraghavan, Yasuko Eckert, Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Bradford M. Beckmann, William C. Brantley, Joseph L. Greathouse, Wei Huang 0004, Arun Karunanithi, Onur Kayiran, Mitesh R. Meswani, Indrani Paul, Matthew Poremba, Steven E. Raasch, Steven K. Reinhardt, Greg Sadowski, Vilas Sridharan |
HPCA | 1 |
| 2015 | ISA Wars: Understanding the Relevance of ISA being RISC or CISC to Performance, Power, and Energy on Modern ArchitecturesabstractRISC versus CISC wars raged in the 1980s when chip area and processor design complexity were the primary constraints and desktops and servers exclusively dominated the computing landscape. Today, energy and power are the primary design constraints and the computing landscape is significantly different: Growth in tablets and smartphones running ARM (a RISC ISA) is surpassing that of desktops and laptops running x86 (a CISC ISA). Furthermore, the traditionally low-power ARM ISA is entering the high-performance server market, while the traditionally high-performance x86 ISA is entering the mobile low-power device market. Thus, the question of whether ISA plays an intrinsic role in performance or energy efficiency is becoming important again, and we seek to answer this question through a detailed measurement-based study on real hardware running real applications. We analyze measurements on seven platforms spanning three ISAs (MIPS, ARM, and x86) over workloads spanning mobile, desktop, and server computing. Our methodical investigation demonstrates the role of ISA in modern microprocessors’ performance and energy efficiency. We find that ARM, MIPS, and x86 processors are simply engineering design points optimized for different levels of performance, and there is nothing fundamentally more energy efficient in one ISA class or the other. The ISA being RISC or CISC seems irrelevant. Emily R. Blem, Jai Menon 0003, Thiruvengadam Vijayaraghavan, Karthikeyan Sankaralingam |
ACM Trans. Comput. Syst. | 3 |